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| S.No | Patent title | Year | Patent Description | Patent Area | Faculty Involved | Patent Number | Patent Status | Patent Application Number | Actions | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | A solar photovoltaic traffic light signal system and method thereof | 2022 | Exemplary embodiments of the present disclosure are directed to a Solar Photovoltaic Traffic Light Signal System and method thereof. The system comprising: a solar panel comprising an array of solar cells connected in parallel or series to produce dc electricity; a luminescence unit and a charge controller/ dc-dc converter device: which is a two in one component and is configured to protect the battery from overcharging and deep discharging: and wherein the charge controller is configured to obtain a voltage supplied by the solar panel at 25 V and drops it down to 12 volts so that it supplies both the battery and the stop light; and a loadcomponent of the circuit which is a traffic light signal and wherein the circuit is configured to build a standalone photovoltaic traffic light signal that is able to function for long periods of time with no grid connection. FIG.6B | Engineering | Dr. Dondapati Ravi Kishore | 202241045906 | Published | 202241045906A | Published | |
| 2 | An ocean thermal energy conversion (OTEC) system and method thereof | 2022 | Exemplary embodiments of the present disclosure are directed to an ocean thermal energy conversion (OTEC) system and method thereof. The ocean thermal energy conversion (OTEC) system comprising: an OTEC-solar pond hybrid: wherein the solar pond (SP) is located offshore and is a flexible floating structure of synthetic materials; a power block configured to facilitate thermal conversion; afloating salt gradient solar collector configured to increase temperature difference as per requirement; an artificial protective embankment of shore for the floating salt gradient solar collector; a cold water pipe present at about 1000m below sea-surface: to increase temperature; and a sand filter configured to maintain the offshore solar pond. FIG.1 | Engineering | Dr. Dondapati Ravi Kishore | 202241045904A | Published | 202241045904A | Published | |
| 3 | An embedded system for data acquisition provided with an unmanned aeriel vehicle | 2022 | An Unmanned Aerial Vehicle (UAV) finds application in deploying cargo packages to war stricken or disaster affected areas where direct human intervention is not possible. The Society of Automotive Engineers (SAE) conducts an annual competition in the United States of America (USA): wherein the participants have to design and model the UAV according to the rulebook provided to them. The aim of the competition is to have a successful flight and drop an expellable payload on a specified location remotely. This paper discusses the coordination of the Data Acquisition System (DAS) with the Graphical User Interface (GUI) in a time restricted environment to fulfill the aim of the competition. The reliable and compact DAS provides the pilot with valuable information such as air speed: altitude and Global Positioning System (GPS) coordinates of the UAV. GPS: Inertial Measurement Unit: Altimeter and Airspeed modules are interfaced with the Arduino UNO microcontroller. The data acquired is wirelessly transmitted via the XBee radio module to a GUI at the base station. The GUI is specially designed to graphically depict the altitude and track the location of the UAV on an embedded map. The system performed to its fullest and gave the desired result. This innovative and rugged system of ours would give off-the-rack solutions a run for their money! | Engineering | Dr.B.KAVYA SANTHOSHI | 202241050438 | Published | 202241050438 | Published | |
| 4 | Influence of the interconnection of wind turbines types I:ii:iii and iv on the parameters of the hosting capacity of distribution systems | 2022 | Large wind turbines can cause voltage fluctuations in weak distribution systems: which can lead to light flicker. To avoid this: the flicker levels should be predicted before a wind turbine is connected to a distribution line. Models Type 3 and Type 4 of wind turbines represent the dynamic response to voltage and frequency issues during disturbance: including the ability to control the magnitude and angle of current injection. The hosting capacity of a wind system has minimum and maximum values: with 3.995 MW being the minimum and 14.224 MW being the maximum. The difference between the two values is due to the location distribution of DGs. | Engineering | Dr.B.KAVYA SANTHOSHI | 202241050139 | Published | 202241050139 | Published | |
| 5 | Human Resource Recommendation Algorithm Based on Machine Learning | 2022 | Human resource recommendation algorithms based on machine learning (ML) use ML techniques to manage and analyze human resource data in modern enterprises. These techniques can help improve the efficiency and management of human resource work: and reduce the business volume in human resource | Engineering | Dr.B.KAVYA SANTHOSHI | 20221048349 | Published | 20221048349 | Published | |
| 6 | IOT SYSTEM FOR MONITORING GATEWAYS USING LORA AND LORAWAN | 2022 | loT is becoming a universal technology findings its application in almost every area. In this invention a novel architecture for monitoring LoRa and LoRaWAN gateways employing another module of IoT transmitter is presented. The novelty present in this invention is the employment of IoT modules as a monitoring mechanism for gateway performance. In this system: established metrics of performance for gateways like throughput and others are monitored by an IoT embedded model. The information from the gateway passes through the IoT module and the information about the performance in terms of throughput and other metrics are transmitted to a specified server. The software is installed in that server is an ensemble machine learning trained one for identifying the discrepancies in the performance of gateways. An expert system integrated with an ensemble machine learning trained approach will enable effective identification of deviations in the performance of gateways. | Engineering | T. AMAR KIRAN | 202241062481 A | Published | 202241062481A | Published | |
| 7 | IMPACT OF LORAWAN ON PERFORMANCE OF CLOUD-BASED IOT PLATFORMS AND FOG COMPUTING | 2022 | In this invention: a novel method of integrating fog computing with LoRaWAN based Cloud IoT - platforms is presented. Fog computing by definition is distributed cloud computing where the computing happens closer to where the data is generated. The purpose of fog computing is to exploit the advantage of cloud computing with the benefits of computing the data close to where itis generated. In the proposed LoRaWAN model: the LPWAN sensors collect data from the environment and send them to LoRa gateways. The LoRa gateways are intern connected to the fog computing unit. In the conventional system: the LoRa gateways are directly connected to the network server. In the novel system presented here the fog computing unit is connected to the network server. The network server is connected to the application server. As in conventional system: the cloud IoT services are executed in these group of application servers. | Engineering | T. AMAR KIRAN | 202241062480 A | Published | 202241062480A | Published | |
| 8 | ANN-based filters to improve the power quality of Grid Connected solar photovoltaic system | 2023 | Grid-connected photovoltaic (PV) systems are gaining popularity in both the business and academic sectors as a clean energy alternative to fossil fuels. Using a shunt active power filter (APF) and an adaptive current management approach: this study intends to improve the power quality of a grid-connected PV distribution system. In this research: an artificial neural network-based controller is used to remove voltage and current harmonics from a photovoltaic (PV) system that is connected into the electrical grid. An strategy for producing a reference current is developed to lessen current harmonics by separating the fundamental components (FCs) of the nonlinear load currents. If the grid voltage is extremely distorted: MCCF may be utilised to protect the FC by isolating it from the distortion and eliminating the voltage harmonics. Power quality: dc offset rejection: FC and frequency extraction: and grid synchronisation are some of the metrics against which the proposed hybrid control technique is measured: as are comparisons to conventional and adaptive control methods. | Engineering | Mr. T. Amar Kiran | 202341009623A | Published | 202341009623A | Published | |
| 9 | A Single-Stage Control Strategy with Energy Management for PV/Battery Hybrid Systems | 2023 | Proportional-integral (PI) energy strategy (EMS) and micro-grid operations are presented to function independently of the grid in this study report: the photovoltaic system It provides just what is required. To get the most out of the PV electricity: it employs power tracking in addition to DC/DC and DC/AC converters. Parameters like charge status are within the controller's purview in traditional proportional- integral (PI) control (SOC). The maximum power-point tracking (MPPT) advantage for power distribution and battery charging/discharging has to be considered in the three distinct situations. The suggested power generating system's performance under different operating circumstances and with the enabled control methods is simulated in Matlab/Simulink. | Engineering | Dr. Dondapati Ravi Kishore | 202341009621A | Published | 202341009621A | Published | |
| 10 | EV CHARGING STATION WITH PV AND BATTERY BASED ON A MULTIPORT CONVERTER | 2023 | The environmental effect of the transportation industry is growing: and electric vehicles (EVs) are seen as a possible solution due to their limited on-board battery capacity. As a consequence: there is a pressing need for charging stations to be situated in convenient locations. However: peak-time overload: unexpected power gaps: and voltage dips are all ways in which fast charging stations: and especially super-fast charging stations: may put a burden on the power grid. In this research: we investigate the viability of modeling a multiport converter-based EV charging station with PV power generation and a battery energy storage system in ANSYS Twin Builder. In this research: we demonstrate that the reliability of a power grid may be enhanced by integrating solar photovoltaic (PV) power generation with an EV charging station and a battery energy storage (BES) system. When daily charging demand is in sync with adequate daytime PV supply: the effect on the power system is reduced. Results from a simulation study verify the benefits of the proposed multiport EV charging circuits using the PV BES architecture in a number of charging modes. The EV charging station also makes use of SIC devices to improve efficiency. In this simulation study: power losses and efficiency across several modes and functions are analyzed and compared to those of conventional charging circuits based on Si devices. | Engineering | Dr. B. Kavya Santhoshi | 202341009630A | Published | 202341009630A | Published | |
| 11 | Modernization of 31 Level Distribution Network with Lower DC Voltage Sources | 2023 | In this invention: we provide a new topology for a 31 - level asymmetrical multilevel inverter that operates on a single phase and requires fewer parts than previous designs. Based on an H-bridge and a pair of asymmetric DC sources: the suggested topology may provide an output voltage with up to 31 discrete steps. Realization of the basic 13-level multilevel inverter (MLI) architecture; further development of the topology for 31-level; potential usage in renewable-energy applications. As a result: the system's size: cost: and number of individual components are all reduced. Despite MLIs' numerous benefits: dependability is a major issue because of the extra parts needed to cut down on THD. Researchers have a significant difficulty in attempting to improve dependability while reducing total harmonic distortion (THD). Total standing voltage (TSV): cost function (CF): and power loss are among the many metrics studied for both primitive 13-level and advanced 31-level MLIs. The inverter is put through its paces in the lab with a wide range of dynamic load conditions: including combinational loads and unexpected load disturbances. The suggested MLI's cost function is compared to other previously published topologies in terms of total standing voltage: and it is shown to be cost-effective. Numerous characteristics are compared in depth and graphically. For the suggested MLI: it is shown that less TSV and components are needed. Total harmonic distortion (THD) levels achieved are well below IEEE limits. The architecture is tested theoretically in MATLAB/Simulink and then empirically using a hardware prototype in a range of environments | Engineering | Dr. B. Kavya Santhoshi | 202341009626A | Published | 202341009626A | Published | |
| 12 | Power Quality Improvement In Distribution System With Dynamic Voltage Restorer With Energy Storage Integration | 2023 | Incorporating PEVs into a voltage-dependent control power grid is proposed in this study. As a result of the fuel gate scandal: a growing number of individuals: particularly in advanced technological communities: are opting for electric cars. PEVs have the benefit of being cutting-edge automobiles that can run on a variety of fuel cells and batteries. The suggested PEVs model was built for use as a static load model in balanced load power distribution systems. Enhanced voltage sag and swell correction may be achieved with the incorporation of energy storage: and one device that can do this is the dynamic voltage restorer (DVR). Ultracapacitors (UCAP) are well-suited for compensating voltage sags and swells: which demand high power for brief periods of time: due to their low-energy density and high-power density. This study makes a significant contribution by introducing DVR topology with rechargeable UCAPrbased energy storage. The UCAP-DVR system will be able to autonomously adjust transient voltage sags and swells with active power capabilities after this integration: rather of having to rely on the grid to do so. The findings demonstrate the viability of the suggested concept and are the product of a MATLAB SIMULINK model of the complete system and Raspberry pi development board real-time controllers. | Engineering | Mrs.Kunche Gowtami | 202341009627A | Published | 202341009627A | Published | |
| 13 | Energy Management with PV Integrated Battery Energy Storage System using ANN Technique | 2023 | In order to mitigate the power fluctuations caused by PV panel characteristics and solar radiation: it is usual practice to include battery storage into PV systems. The bus voltages in photovoltaic battery systems must be stabilized while allowing for a high degree of discretion in the management of power flows. This paper's goal is to propose a comprehensive control and power management system (CAPMS) for AC and DC bus-based PV battery hybrid micro grids operating in both grid-connected and islanded modes. The proposed investigation contrasts PI controllers with artificial neural networks (ANN). Regulators keep an eye on both the power supply and the waves. The task was completed using the Matlab simulink application. | Engineering | Mrs.Kosuri Sravani | 202341009633A | Published | 202341009633A | Published | |
| 14 | A Power Management Strategy for Photovoltaic-Based Microgrids Employing PSO | 2023 | Research into Microgrids and Distributed Generation (DG) is gaining traction as a consequence of the advantages that might accrue from using renewable energy sources. Renewable microsources located near to the load centre form the basis of a typical microgrid. The actual and reactive power of each DG must be managed in a microgrid: and this can only be done with a combination of Voltage-Frequency control and a Power management technique. This project includes research on the effect of adding renewable energy based generating sources to the current distribution network on load sharing. This study introduces maximum power point tracking (MPPT) using a genetic algorithm (GA) for a photovoltaic (PV) array that incorporates a battery storage unit (BSU) as an independent power producing unit. PV production is affected by solar irradiation: site location: and ambient conditions including temperature. For this reason: PV production is inherently erratic: and the addition of nonlinear load just exacerbates the problem. In summary: PSO-based MPPT for PV generating is effective for local optimum solution. To get the required rated voltage: a DC/DC and boost converter were employed. As a result: the DC-link voltage is kept relatively stable and near to the setpoint using a PI controller. The outcomes of simulations conducted under various operational and environmental parameters are shown. | Engineering | Mr.Yalla Ananda Kumar | 202341009628A | Published | 202341009628A | Published | |
| 15 | Active Power control of Photovoltaic Systems to Support Grid frequency | 2023 | Grid operators are increasingly interested in inverter-coupled production to assist minimize frequency contingencies by immediately surging active power into the grid. Active power in an emergency enhances the chance of stopping it. We give a predictive technique of operating PV inverters for rapid and precise active power regulation. Rapid active power management might support higher-level controls like quick power-frequency droop: inertia modeling: and fast frequency response to reduce grid frequency contingencies. A prototype PV inverter uses maximum power point prediction and quick active power control. The prototype inverter responds rapidly (2 line cycles for a moderate test event: 4.5 line cycles for a severe test event) and accurately (2% steady-state error) to a broad variety of frequency events. | Engineering | Mr. T. Amar Kiran | 202341009636A | Published | 202341009636A | Published | |
| 16 | BRIDGELESS AND INDEPENDENT ZETA LUO CONVERTER BASED ELECTRIC VEHICLE CHARGER | 2023 | In this fast-warming world there is an urgent of eco- friendly products to stop the pollution and global warming. To stop global warming: we have to immediately cease the release of carbon dioxide in to our atmosphere for that we have to modify or replace the biggest carbon releasing factors form our atmosphere one of those factors are transportation. In past century the adaptation of internal combustion engines were drastic but they have contributed to our economies hugely but it’s time to replace them with more sustainable electric vehicles. Development of electric vehicles have started way back along with the development of internal combustion engines but the technologies couldn't able to catch up with that along with the need but now in the 21st century tame has arrived to switch to EV and technology has developed significantly. When we talk about technology the main infrastructure we need is charging facility. To coup up with the growing demand of EV we urgently need to update our charging facility. One of those improved chargers is BRIDGELESS ZETA LUO CONVERTER EV CHRGER. | Engineering | Mrs. K. Saritha | 202341009631A | Published | 202341009631A | Published | |
| 17 | High Step Up Transformerless DC-DC Converter Designed for Use in Applications Involving Renewable Energy | 2023 | Switch-mode power supply: fuel cells: and solar photovoltaic systems are just some of the many places you'll find a high gain dc-dc converter in use. We present a dc-dc boost converter with a record-breaking gain and do considerable research on it. The proposed setup may achieve significant voltage gain compared to previous transformer less designs. As long as the output voltage doesn't go beyond 50%: the active MOSFETs are safe. We settle for the lowest-rated components because of this. The underlying operational logic of both systems is dissected to establish their respective benefits. The converter's performance is deemed satisfactory both in open and closed loop configurations: and high gain is attained at low duty ratios. | Engineering | Dr. Suresh Vendoti | 202341009629A | Published | 202341009629A | Published | |
| 18 | IMPROVED POWER QUALITY USING D-Q THEORY-BASED THREE-PHASE UNIFIED POWER FLOW CONTROLLER | 2023 | In this invention: a unique approach is presented to be used for a unified power flow controller (UPFC) that operates in voltage control mode. In order to produce the reference stator current: D-Q theory is used. This: in turn: results in a reduction in the total harmonic distortion (THD) of the source current. The technique that has been presented offers a number of advantages over the voltage-controlled UPFC that is the industry standard. Under typical circumstances of operation: the achievement of unity power factor (UPF) by the load terminal is ensured by the method that has been described. The UPFC controller not only prevents problems with voltage sag in the distribution system: but it also adjusts for reactive power. According to the data: the approach that was presented is an excellent strategy for maintaining a healthy ecology. When evaluating the performance of the whole system: a MATLAB model is put through its paces. | Engineering | KANKELA ARUNASRI | 202341009625A | Published | 202341009625A | Published | |
| 19 | SOLAR POWERED ROBOTIC VEHICLE FOR HEAVY METAL IONS DETECTION IN WATER EMPLOYING MACHINE VISION | 2023 | This invention is a solar powered robotic vehicle that identifies and maps heavy metal ions in agricultural soil employing a camera. The soil is first collected from the agricultural land using a cup and stirred periodically using a stirrer. The data from the stirred sample is collected employing camera along with a time stamp and sent to the server dedicated for this product via the Internet employing an IoT Module. The camera sensor first detects the type of the soil with the colour as primary parameter. The soil can be red soil: black soil or other such types. This soil type will be detected with the image data collected from the camera. Next the camera sensor identifies whether the soil has heavy metal ion content or not. If heavy metal ion content is found in the soil collected it maps the corresponding location along with the ion concentration data to a cloud server. The machine learning model is trained by providing various images of soil with heavy metal ion concentration. The entire robot can be made to traverse in any programmed route in a field to collect data from throughout. A trained EnsembleMachine Learning model for soil information inference from the data collected from sensor mentioned above is loaded at the centralized server. The data collected from different soils is first categorized and employed to train the ensemble machine learning model. Once the model is trained: it can operate as a reliable predictive model. A combination of Convolutional Neural Network: Support Vector Machine: Linear Regression and K Means is employed for the above said ensemble machine learning model. | Engineering | Dr. B. Kavya Santhoshi | 202341007827A | Published | 202341007827A | Published | |
| 20 | AGRI-TECH FARMING REVOLUTION FOR USING PLC SOLAR WATER: AND FERTILIZER’S PUMP WITH NEW ALTERED-NOZZLE | 2023 | AGRITEC FARMING REVOLUTION FOR USING PLC SOLAR WATER: AND FERTILIZER'S uses sensors to detect the soil's humidity level and send the output to a PLC (Programmable Logic Controller). The PLC then automatically turns the motor on and off. PLCs are used in agriculture to automate processes and increase productivity. They can monitor and operate many agricultural applications: such as greenhouse settings: irrigation systems: and livestock facilities: using sensors. | Engineering | Dr. B. Kavya Santhoshi | 202141049447A | Published | 202141049447A | Published | |
| 21 | IMPLEMENTATION OF FOUR-PHASE INTERLEAVED DC-DC BOOST CONVERTERFOR ELECTRIC VEHICLE POWER SYSTEM | 2023 | Several DC-DC converter topologies are discussed: together with their design considerations and performance assessments: in this study for use in Battery Electric Vehicles (BEVs). Output power: component count: switching frequency: EMI: losses: efficacy: reliability: and cost are some ofthe metrics against which the design and assessment of different converter typologies are evaluated and contrasted. Therefore: in order to link a high-voltage battery to a low-voltage motor: energy storage systems choose a bidirectional DC—DC converter with a broad voltage—gain range. To connect the battery to the motor: an interleaved switchedcapacitor DC-DC converter is employed. This converter uses an interleaved structure on the low voltage side to smooth out the current flowing thrbugh that side: and a series—connected design on the high voltage side to boost the converter's efficiency and provide a large stepup/ step-down voltage gain. By using the converter: the motor may generate electricity during deceleration. Three—phase inverters also benefit from a specially developed space vector modulation. MATLAB is used to verify the functionality ofthe system. Analyze the efficiency ofthe converters at various switching frequencies using MATLAB. Keywords: FP-IBC converter: Boost Converter: Electric Vehicle: 3- Phase Inverter: PWM Technique and THD | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037398A | Published | 202341037398A | Published | |
| 22 | CONTROLLING OF ELECTRICAL VEHICLE CHARGING CONDITIONS USING PVBASED MULTI-MODE CONVERTER | 2023 | The growing popularity of EVS as a green transportation option has increased the need for conveniently located charging stations: since EVs can only go so far on their on—board batteries. However: the power system might be stressed by fast charging stations: particularly superfast charging stations: due to the possibility of overload during peak hours: abrupt power gaps: and voltage dips. In-depth modelling ofa DC power production and battery. energy storage system incorporated into a multiport converter—based EV charging station is discussed in this study. In the event ofa power outage or the more common but shorter-lasting distribution system fault:'this project evaluates the viability of using Plug-in electric vehicles (PEVs) in Vehicle to Home (V2H) scenarios: in which the vehicle serves as a residential battery storage system and/or backup generator. Both the simulated and experimental data confirm PCMM's viability and prove it can achieve the design goal. Using a space vector modulation approach and a simulation study: this charger has been developed and its functionality verified. The resulting simulation results predict that the suggested charger and a suitable autonomous EMS would interact adequately in a typical home scenario | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037401A | Published | 202341037401A | Published | |
| 23 | GRID-CONNECTED PHOTOVOLTAIC INVERTER WITH A HIGH-GAINREBOOST LUO CONVERTER | 2023 | This project proposes a single-phase: three-level voltage source inverter for use with a PV system that is based on the Reboost Luo converter. By way ofa Reboost LUO converter: the solar system supplies the inverter with the necessary voltage. In order to harvest the maximum amount of electricity from the PV system: the MPPT fuzzy logic method is utilised. Because it makes use ofa renewable energy source to generate ‘ electricity: the solar photovoltaic (PV) energy generation system has been examined as a leading contender for the title ofmost prominent energy system by power producers all over the world. However: in order to increase total production: a grid-connccted PV system with a DC—DC reboostluo converter has been implemented. This converter increases the low level DC voltage produced by the PV panel to a level that is equivalent to the voltage produced by the grid. By utilising a closed loop control method in conjunction with a PI controller: it is feasible to guarantee the operation of the controller and increase the amount of power that can be extracted from the PV panel. A PI controller is assigned to a voltage source inverter (VSI): which removes steady-state error and assists in obtaining the desired grid voltage by analogizing the real power with the reference power. The achieved voltage is then delivered into the grid through the V81. The direct current (DC) voltage is changed into alternating current (AC) voltage by using this singlephase voltage source inverter. Simulation in Matlab is used to carry out the work for this project. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037412A | Published | 202341037412A | Published | |
| 24 | ANN BASED GRID INTERCONNECTION OF SOLAR PV SYSTEM WITHMULTIFUNCTIONAL GRID-INTERACTIVE CONVERTER | 2023 | The capacity to produce only active electricity at a unity power factor is a key feature of grid-connected solar inverters. The grid is responsible for providing the reactive electricity needed by the load. Reactive power pulled from the grid has significantly risen in comparison to active power drawn from the grid as a result of the abrupt growth in the deployment of renewable based Distributed Energy Resources. The grid's electricity quality suffers as a result. By incorporating intelligent reactive power supply into the grid-connected solar inverter: the grid's reactive power supply may be reduced while still meeting the active power needs system. Using a cuckoo algorithm: the efficiency of the PV system is increased. The inverter’s controller is tailored to keep PV and the. grid in sync. This study suggests a SVM controller for PV inverter to reduce voltage swings in the power grid. Additionally: the technique takes into account the loss caused by the generation of reactive electricity. The simulation results are offered for evaluating the voltage regulation properties under various loads. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037413A | Published | 202341037413A | Published | |
| 25 | REDUCED RIPPLE IN THE TORQUE OUTPUT OF THE SRM DRIVE BY USE OFTHE SVM-BASED CONVERTER | 2023 | An early example of an electric machine: the switched reluctance motor (SRM) has been around for quite some time. Its low production cost: durability: and streamlined design make it ideal for use in industrial settings. These benefits: however: are offset by the high torque ripple: noise:'and difficulty in controlling it that are intrinsic to the design. Based on the idea ofa torque sharing function (TSF): this invention describes a method for minimizing torque-ripple in switching reluctance motor (SRM) drives. By employing an analytical formula: the reference torque is converted into a reference current waveform in the suggested approach. One of the biggest drawbacks of the Switched Reluctance Motor is the torque ripple it produces. In this study: we first examine torque ripple from the perspective of the fundamental space voltage vector: which is grounded in direct torque control theory. The investigation led to the proposal ofa novel technique using an improved voltage vector to cut down on torque ripple. In order to power SRMs: :a space vector modulation is introduced here. Three legs of an asymmetrical three-phase power converter: each with two IGBTS and two free- wheeling diodes: provide power to the SRM. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037414A | Published | 202341037414A | Published | |
| 26 | GREY WOLF OPTIMIZATION AIDED MPPT ALGORITHM WITH SEPIC CONVERTERFOR GRID INTEGRATED PV SYSTEM | 2023 | In the present decade: there is high environmental pollution: increase in fuel cost: high fossil fuel depletion and increased consumer expectations: 4 which resulted in the vast growth of Electric Vehicles (EVs).Moreover: as the normal internal combustion engine based vehicles emits high pollution: there is increased for demand for Renewable energy sources (RES) based EVs. Among them: the PV relied EVs are highly significant: since it is available throughout the year and easily installable. However: the intermittent nature of PV system causes voltage fluctuations. Therefore: it is necessary to boost the output of the PV system. In this paper: an improved DC—DC SEPlC converter is used for enhancing the PV output: which is funher used in EV applications. The DC link voltage at the output ofthe DC-DC converter is maintained constant using a Grey Wolf Optimization (GWO) based closed loop technique. Further: the output of SEPIC converter is given to the Voltage source inverter (VSI): in which it is converted into AC supply and is fed to the EV or grid. The grid synchronization is attained with the help of PI controller. The proposed work produces reduced THD: lower switching losses: also assists in maintaining better energy management at the EVs: thereby providing uninterruptible power supply. Furthermore: to evaluate the performance of the proposed work: it is implemented in MATLAB/Simulink | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037415A | Published | 202341037415A | Published | |
| 27 | AN EXAMINATION OF THE DC-DC CONVERTER FOR ELECTRIC VEHICLESBASED ON THE SVM | 2023 | This paper suggests a method for switching between different operating modes by making use of a bidirectional DC/DC converter: which is a component that is often used in battery-powered electric vehicles (EVs). In the suggested design: when the DC—link voltage is at an unacceptable level: the converter will transition from the boost mode to the buck mode. This method is intended to lower pollutants while simultaneously increasing the efficiency ofthe electric vehicle's energy storage system (ESS). During operation: a buck-boost DC/DC converter is utilised to increase the voltage ofthe DC connection: and during deceleration: the battery is recharged using the extra power. When the system is running in boost mode: the steady maintenance ofthe DC—link voltage is accomplished by driving operations using Pl control of the DC-link voltage. The buck mode minimises the effects of voltage ripples by controlling the battery voltage using the PI algorithm. Current control mechanisms are used in both modes of operation. This is done to ensure that the converter modules are sharing the battery current in an equitable manner. The recommended method is assessed by simulating it with the help of the propulsion system of an electric car | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037419A | Published | 202341037419A | Published | |
| 28 | MICROGRID DESIGN FOR EV FAST CHARGING STATION USINGINTERLEAVED DC-DC CONVERTER | 2023 | The development ofa microgrid for an electric vehicle charging station that makes use ofa variety of renewable energy sources is the major objective ofthis project (utility grid: solar PV plant: wind energy system). In this instance: the solar array is anticipated to produce IS kWp: while the wind turbines are anticipated to produce 5 kWp. A distributed energy system's efficiency and performance may be significantly improved by the use ofa dc-dc converter and the perturb and observe method of maximum power point tracking (mppt). Both of these techniques are part ofthe maximum power point tracking (mppt) protocol. The configuration that has been proposed is helpful for constructing a locally characterized microgrid that is not only functional but also cost-effective. This is a novel component that has been included to this research since it would reduce the need for the electric grid during peak demand periods: which is a significant challenge faced by contemporary megacities. ‘ | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037420A | Published | 202341037420A | Published | |
| 29 | Z-SOURCE CONVERTER WITH ULTRA GAIN FOR TRANSFORMER-LESS FUELCELL INTEGRATED SINGLE PHASE GRID | 2023 | DC-DC Boost Converters with grid—connected systems make extensive use of high voltage gain components. that include renewable energy sources. The objective is decreasing prices and size by removing transformers and other power equipment with the goal of minimising conversion losses. This research suggests a high gain converter for HVDC and fuel-based applications. The boost-z source convener layout presented here minimises the number ofinput DC sources and switches. Switching stress and switching losses are reduced by using a high gain topology with a low duty cycle. Snubber protection is proVided by the blocking diodes in the suggested converter architecture. The PI controller is employed in the converter for closed loop steady state ‘ voltage functioning. The Grid Synchronization approach is used to 1 address power quality concerns. Matlab simulation was used to create 1 this project. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037421A | Published | 202341037421A | Published | |
| 30 | PV FED INNOVATIVE HIGH STEP UP SOFT SWITCHING INTERLEAVED DC-DCBOOST CONVERTER WITH COUPLED INDUCTO | 2023 | The purpose of this research is to come up with an original design for a high-step-up dc-dc converter that might be used in decentralized power plants. This concept is built on a foundation ofa pair of capacitors and a single induct or that is coupled together. The energy that is stored in the connected induct or is used to charge the two capacitors in parallel during the time when the switch is off and to discharge them in series during the time when the switch is on. This results in a high step-up voltage gain. In addition: the energy lost by the linked conductor's leaky inductance may be recycled via the use ofa passive clamp circuit. As a result: the strain that the primary switch experiences from the voltage is minimized. Utilizing a switch that has an RDS that has a low resistance may help reduce the amount of conduction loss (ON). Since the problem with the diodes‘ reverse-recovery has been fixed: the efficiency could be able to be improved even more. There is a focus on providing in-depth descriptions of the operating principle as well as steady—state investigations. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037422A | Published | 202341037422A | Published | |
| 31 | MINIMIZING TORQUE RIPPLE FOR SWITCHED RELUCTANCE MOTOR USINGINSTANTANEOUS TORQUE CONTROL THEORY | 2023 | In this project: you will learn about the theory underlying torque control for a switching reluctance motor and then apply that theory to the development and implementation ofa low torque that is free of ripple. This project shows how the IDTC method may be used to smooth out the torque output by a switching reluctance motor. To date: the SRM has been in charge of the BR converter. To provide the correct voltage to the motor depending on readings from the motor sensor: this converter is used. When it comes to closed-loop speed control: PI control: Fuzzy controllers: and Neuro fuzzy controllers are all good bets. The torque ripple can be reduced more using IDTC control than with the more common peak-to—peak method. The linear magnetic model: known for its 8/6 organizational structure: was used for the simulation. The results ofthe MATLAB simulation suggest that Switched Reluctance Motors (SRM) might be used in the motor drive industry with little copper loss. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037423A | Published | 202341037423A | Published | |
| 32 | MODELING AND CONTROLLING OF AC/DC HYBRID MICROGRID | 2023 | As a result of climate change: renewable energy sources like solar and wind have become the most popular choice for distributed generators (DGs). Power sources including wind: solar: biomass: mini-hydro: fuel cells: and microturbines will help boost decentralised power production. Electricitysystems may benefit from distributed generation in a number of ways: including environmental friendliness: scalability: and the use of nonconventional microsources. A regulated microgrid is comprised of loads and distributed generators. Microgrids may function whether or not they are connected to the main power grid. Microgrids provide power system connections to variable renewable AC and DC sources and loads while minimising the need for reverse conversions in AC or DC grids. Connecting DGs to the utility/grid through power electronic converters raises questions about the security and integrity of the connected systems. Local dependability: feeder loss reduction: local voltage support: waste heat utilisation: voltage sag correction: and uninterruptible power supply are just some of the client demands that may be met by tailoring the microgrid to their specific requirements. In order to better understand how hybrid AC/DC microgrid systems function when connected to the mains: this research evaluates their efficiency. Microgrids use renewable energy sources such as solar panels: wind turbines: and batteries. The DC and AC sub-grids are synchronised by the manipulation of converters. MATLAB/Simulink is responsible for generating the results. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037424A | Published | 202341037424A | Published | |
| 33 | DYNAMIC PROGRAMMING-BASED ENERGY MANAGEMENT STRATEGYOPTIMIZATION FOR PV SYSTEM HYBRID ELECTRIC | 2023 | Energy efficiency and the decrease ofharmfu] emissions are two major topics of study in the car industry. That's why people are flocking to hybrid electric vehicles. lfyou want to increase the efficiency ofyour car's system: you may want to think about a vehicle electrical hybrid (VEH). This vehicle consumes less fuel and produces fewer harmful byproducts than its thermal counterpart. The challenge then becomes determining the optimal power distribution between the hybrid system's two sources: the internal combustion engine (ICE) and the electrical machines (EM): to achieve optimal efficiency. Improving fuel economy and optimising HIEV performance are the primary goals ofthe energy management systems that implement instantaneous split power between the two sources in a hybrid electric vehicle (HEV) through regulation of the battery state of charge (SOC). In this work: we offer the results ofa parametric analysis of the effect of optimizing the energy management strategy has on the most efficient functioning of the vehicle. Modelling a ~ hybrid car and presenting a rules-based energy management system are discussed. Afterwards: a Grey Wolfoptimizer-based optimization technique is used to fine-tune these rules (GWO). It's a novel metaheuristic that takes into account the whole population. The ideal energy management strategy’s effect on fuel consumption and C02 emissions may be deduced from the simulation's findings. Results reveal that the best energy management techniques result in different optimum vehicle operations. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037425A | Published | 202341037425A | Published | |
| 34 | A NOVEL DEMAND RESPONSE ALGORITHM FOR GRID-CONNECTEDMICROGRIDS THAT MAXIMISES RENEWABLE ENERGY UTIL | 2023 | Utilizing wind and solar electricity effectively in the power system is difficult due to the uncertainty these sources bring. The conventional method for handling its erratic power supply is to install battery energy storage systems (BESS). However: BESS can't get widespread use because of its prohibitive price tag. In this study: we look at the demand response (DR) strategy to see whether or not it is a viable option for optimising the use of renewable energy sources like wind and solar. Specifically for managing the operations of thermostatically controlled appliances (TCAs) like air conditioners: a novel DR technique called weighted coefficient queuing (WCQ) algorithm has been created (AC). In order to customise the amount of reaction from their appliances: users may choose from a spectrum of colours using the WCQ algorithm: which is made up of a algorithm and a state-queuing (SQ) model. This kind of algorithm may guarantee the satisfaction and fairness of the clientele. The suggested algorithm is tested on a micro-grid with one thousand AC5 to ensure its efficacy. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037426A | Published | 202341037426A | Published | |
| 35 | ARTIFICIAL NEURAL NETWORK-BASED D-FACTS FOR IMPROVINGMICROGRID POWER QUALITY | 2023 | In order to alleviate the power quality issues that are caused by distributed systems: the author ofthis study suggests the notion of DSTATCOM as well as an adaptive switching filter compensator. Voltage distortions: such as sag and swell: and current harmonics: which are induced by varied load circumstances: are the most important factors for measuring power quality. In order to compensate for the power quality issues: a standard PID controller is used for the purpose ofcontrolling the dc link voltages ofboth the D-FACTS and ASFC controllers. The most important factor is how well the PID controller's parameters are tuned. The tuning ofthe PID controller is accomplished with the help of a grasshopper optimizer. The GOA—based PID controller is able to adjust for 80% of the harmonic distortions as well as the voltage distortions. The voltage ofthe dc connection may be adjusted with the help of an ANN controller in order to enhance the harmonic distortions and correct for voltage distortions. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037428A | Published | 202341037428A | Published | |
| 36 | UTILIZATION OF OPTIMIZATION STRATEGIES IN PHOTOVOLTAIC INTEGRATEDMULTILTVEL INVERTERS FOR ENHANCING | 2023 | In recent days multilevel inverters (MI) have played an essential role in photovoltaic (PV) integrated supply systems. MI has high efficiency and is more robust compared to the traditional two-level inverter. This paper presents a modular cascaded multilevel inverters (MCMI)-based hybrid shunt active power filter (HSAPF) with PV integrated for power quality (PQ) improvement in three-phase utility systems. The main aim is to deliver the PV system's active power and reduce the current harmonics by injecting the compensation current at the point of intersection (POI). The main contributions in this work presents an optimization based approach called the predator-prey based fire-fly optimization (PPFO) for reducing the total harmonic distortions (THD) and: the Adaptive Perturb and Observe–Fuzzy (APOF) is developed for tracking the maximum power. The effectiveness of the PPFO is tested with other methods like particle swarm optimization (PSO) and fire-fly optimization (FO). The proposed technique is performed using MATLAB/ Simulink tool under different supply conditions | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | Published | 202341037430 | Published | ||
| 37 | POWER QUALITY IMPROVEMENT IN DFIG BASED GRID CONNECTED WINDENERGY CONVERSION SYSTEM | 2023 | As part of this project: the design and implementation of a DIFG-based grid-connected wind energy system will be carried out. This will help improve the power quality system. The use of a fuzzy logic controller in wind energy conversion systems is proposed here in order to maintain grid voltage stability. Harmonics mitigation is accomplished with the help of the D-Q theory and fuzzy logic controller. This combination is utilised to create reference voltage and current based on source and load voltage and current. To maintain consistent DC link voltage regulation using dq+ Fuzzy logic controller. use the D-Q theory to adjust for the reactive power. According to the findings: the technique that was suggested is capable of preserving a sustainable environment while also providing increased efficiency and minimising harmonics. A MATLAB simulation is used to verify the functionality of the complete system. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | Published | 202341037431 | Published | ||
| 38 | A PLUG-IN ELECTRIC VEHICLES INTEGRATED INTO A POWER DISTRIBUTIONSYSTEM WITH A DYNAMIC VOLTAGE REGUL | 2023 | This paper proposes the impact of plug-in electric vehicles (PEVs) integrated into a power distribution system based on voltage-dependent control. The gasolinegate situation has many people turning to electric vehicles as a more environmentally friendly option: especially in smart community areas. The advantage of PEVs is modern vehicles that can use several types of fuel cells and batteries as energy sources. The proposed PEVs model was developed as a static load model in power distribution systems under balanced load conditions. The power flow analysis was determined by using certain parameters of the proposed electrical network. The main research objective was to determine the voltage magnitude profiles: the load voltage deviation: and total power losses of the electrical power system by using the new proposed methodology. Furthermore: it investigated the effects of the constant power load: the constant current load: the constant impedance load: and the plug-in electric vehicles load model. The IEEE 33 bus system was selected as the test system. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | Published | 202341037432 | Published | ||
| 39 | ANN BASED BRIDGELESS LANDSMAN CONVERTER DESIGN FOR ELECTRICVEHICLE POWER FACTOR CORRECTION | 2023 | Electric vehicles (EVs) are becoming more popular due to their many desirable characteristics: such as their ability to store energy in batteries and their small carbon impact. Electric vehicles represent a revolution in both the transportation and electrical sectors: and by uniting the two: they have the ability to improve both. This relationship needs the implementation of effective Power Factor Correction (PFC) systems for charging EV batteries: which minimises the supply front-inherent end's Power Quality (PQ) concerns. This study uses a Bridgeless Landsman converter for PFC: since it is efficient and can detect changes in the link voltage. The usage of an ANN-based PI controller facilitates prediction and classification with regards to reaction time. This is accomplished by connecting the hysteresis controller to a PWM generator: which then determines the correct switching frequency for the converter in steady state. The suggested strategy aids in effective minimising of harmonics with heightened efficiency. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037449A | Published | 202341037449A | Published | |
| 40 | DEVELOPING AN RBFNN MAXIMUM POWER POINT TRACKING ALGORITHM FORA THREE-PHASE LANDSMAN PV-GRID | 2023 | In this study: we use an MPPT algorithm based on a Radial Basis Function Neural Network (RBFNN) to a 3 grid-connected PV system. Because of its strong voltage gain at low duty cycle: the DC-DC Landsman converter is used to boost the PV system's output voltage. Greatest power point tracking (MPPT) using a recurrent neural network (RNN) is presented to mbnitor the MPP of the solar PV panel and extract the maximum amount of energy from the sun. Total Harmonic Distortion (THD) is decreased and grid voltage is synchronised effectively with the help of a PI controller. With the help of MATLAB simulation: we have a look at the 1 performance of the suggested model of a grid-connected PV system. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037452A | Published | 202341037452A | Published | |
| 41 | ACTIVE AND REACTIVE POWER REGULATION UTILIZING AN ANN CONTROLLERFOR A PV FED TRANS QUASI-Z SOURCE | 2023 | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037453A | Published | 202341037453A | Published | ||
| 42 | INTELLIGENT CONTROLLER FOR FLYBACK CONVERTER WITH 31-LEVELINVERTER FOR GRID-CONNECTED HYBRID SYSTEM | 2023 | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037454A | Published | 202341037454A | Published | ||
| 43 | IMPLEMENTATION OF ANFIS CONTROLLER TO IMPROVE HYBRIDSYSTEM RELIABILITY | 2023 | The fundamental problem with the current electricity infrastructure is that it can't keep up with the ever-increasing demands of a rapidly expanding population. Since renewable technologies: which make up part of the Distributed Energy System: are both environmentally beneficial and abundant in the wild: they are increasingly being used as part of the conventional electricity generation infrastructure. In this work: we focus on hybrid systems powered by solar and wind energy. In order to get the most out of the PV and wind energy systems: an MPPT based DC-DC converter is used. The efficiency of several MPPT methods: such as the P&O method: applied for hybrid systems was compared. To boost power reliability: an ANFIS approach is used to the inverter controller's dc link voltage. Several MPPT techniques are tried out on this hybrid system in Matlab/Simulink: and the results are compared across a wide range of load circumstances and fault analyses. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037458A | Published | 202341037458A | Published | |
| 44 | A NOVEL ASYMMETRIC 21-LEVEL INVERTER WITH PV SYSTEM FED TOMOTOR LOAD | 2023 | Due to their low cost: wide availability: and lack of maintenance requirements: renewable energy sources (RES) have been favoured in this work to effectively meet the load demand. This is because: in the present scenario: RES play a remarkably important role in the process of improving the function of motor load. When compared to now: the importance of RE Sources in enhancing motor load function was much lower in the past. This effort relies heavily on the Sepic converter: since its goal is to enhance the system's performance as a whole. However: the ANFIS method greatly facilitates the process of achieving the Maximum PowerPoint Tracking (MPPT). The purpose of this effort is to increase the voltage range across which PVs may operate at full efficiency. The Multi Level Inverter (MLI) is set up in the best possible way: which increases the system's dependability to its highest possible level with little effort. A 21 Level (31 L) inverter does an impressive job of balancing out fluctuations in load demand. The whole of the system is simulated by using MATLAB Simulink: and the results that were obtained demonstrated that the strategy that was presented provides ideal performance since it reduces the amount of Total Harmonic Distortions (THD) to a higher degree. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 202341037477A | Published | 202341037477A | Published | |
| 45 | ELECTRIC VEHICLE CHARGER | 2024 | This paper discusses how to balance charging due to electrical power distribution network limitations: and how to use Vehicle-to-Grid (V2G) technology to connect electric vehicles to renewable energy sources. | Engineering | GODAVARI INSTITUTE OF ENGINEERING AND TECHNOLOGY(A) | 397185-001 | Published | 397185-001 | Published | |
| 46 | INTEGRATED BOOST-LUO DC-DC CONVERTER FOR FUEL CELL INTERFACED MULTIMODE HYBRID ELECTRIC VEHICLES | 2024 | Hybrid Electric Vehicles (HEVs) with- binary energy bases need two distinct on-board DC to DC converters for connecting the power source and fuel cell: both of which must the drawbacks of big size: expensive: substantial fatalities: and a restricted range of practical conditions for operation. To solve this problem: an improved Proportional Integral (PI) Controller based inside integrated Boost— Luo DC to DC converter with a non remote multi port design with one directional bridge for the fuel cell and a bidirectional docks for the cordless and weight was developed. This is accomplished by the use of a single integrated converter to provide mixed energy supply and recovery: successfully overcoming the aforementioned drawbacks. The improved converter configuration is quite simple: and the transformer's inherent magnetic inefficiencies are eliminated. In addition: the switching capacitor is used as a power répetition component to generate great advahce production: which reduces the fuel cell and battery power requirements under the :. same load scenario. Furthermore: it has greater efficiency in hybrid car system energy management: as it allocates control and shift operational modes by managing the on/off of swapping components . to brand it fit for_ heavy situations. Finally: Mat lab/Simulink software . .is used to create a simulation model of the topologies m order to test the converter performance In each driving condition: and the outcomes of the simulations validate the feasibility of the recently proposed integrated DC to DC converter architecture. In the comparison graph: the suggested converter had an efficiency value of 94.5%. | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. N.LEELAVATHY 4)Dr. B. Kavya Santhoshi 5)Dr. V. Suresh 6)Sivaprasad Kollati 7)T. Amar Kiran 8)Dr. M Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B. Srinivas Raja 11)Dr.V. Kusuma Kumari 12)Dr. T V PRASAD | 202441010162 A | Published | 202441010162 | Published | |
| 47 | BACK TO BACK CONVERTER FED WIND ENERGY INTEGRATED SMART PV ASSISTED SELF -LIFT LUO CONVERTER FOR MIC | 2024 | The benefits of efficient power generation and great transmission effectiveness have made Micro Grids (MGs) quite popular in recent times. The electrical grid is being expanded to include the MG and Nonlinear Loads (NL). NL employs electrical equipment to introduce harmonics into the electric grid: and M65 are coupled by Voltage Source Converters (VSCs). Sudden changes in demand: the growing usage of power technology: and the nonlinear properties of Renewable Energy Sources (RESs) are the main causes of the growth of stability issues in the MG. This research proposes a wind- and photovoltaic (PV) system—based microgrid using RESs. This system is designed to deliver uninterrupted: steady power to loads. Use of the Self-lift Luo converter stabilizes the PV input voltage which shows 9.3 voltage gain. Additionally: in order to improve the microgrid's efficiency: a PI controller is utilised to achieve a steady output from the converter that is distortion-free. To keep the DC link voltage stable: the 3G) inverter aggregates the output from the PV: wind: and batteries at .one location and feeds it into the grid. MATLAB is the platform used to_implement the results | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. B. Kavya Santhoshi 4)Dr. V. Suresh 5)Sivaprasad Kollati 6)T. Amar Kiran 7)Dr. G. Satyanarayana 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | 202441010164 A | Published | 202441010164 | Published | |
| 48 | PSO OPTIMIZATED IMPROVED CONVERTER FOR GRID TIED EV CHARGING STATION WITH MULTISOURCE INVERTER | 2024 | The rise in popularity of electric cars (EVs) has resulted in a growing need for ecologically responsible and effective charging facilities. There is a need for efficient and reliable power management systems that can integrate multiple sources of power to charge EVs. This project aims to address the challenges of integrating multiple sources of power for charging EVs while ensuring high power quality with reduced harmonic distortion. This aims to develop a system that combines multiple power sources using a novel multisource inverter and feed them into the grid with both linear and non—linear loads. A PSO (particle swarm optimization) adjusted Pl (proportional integral) controller controls an enhanced PFC (power factor correction) converter that serves as an AC supply and a charging station for electric automobiles. Another input source batttery converter is also fed in’go the system: The multiple power éources are then combined using a four-leg invertenthat is controlled by a PI controller with DQ theory tfahsformation. The system ensures that the power fed into the grid IS of high quality with reduced harmonic distortion. This project has potential applications In industrial: commercial: and residential power systems where multiple power sources are required to be integrated into the grid. The entire work for enhancing charging capacity of the EV through improved MS is carried out in MATLAB 2021 and simulation responses are obtained. This proposed work has a THD Value of 1.24% when the papers are compared and the Settling time obtained using PSO-Pl controller is 0.255 | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. B. Kavya Santhoshi 4)Dr. V. Suresh 5)Sivaprasad Kollati 6)T. Amar Kiran 7)Dasari Vani 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | 202441010165 A | Published | 202441010165 | Published | |
| 49 | FUZZY MPPT CONTROLLED LANDSMAN CONVERTER FOR GRID TIED PMBLDC BASED WATER PUMPING SYSTEM | 2024 | This proposal offers a grid associated brushless DC motor motorized to pump water scheme fueled by a solar array via a Landsman Converter. A Fuzzy Maximum Power Point Tracker (MPPT) aided Landsman converter and an inverter for the voltage source operate a brushless DC motor paired with a pump in the system. The grid is employed as a backup source. This mechanism enables the water pump to operate at full capacity irrespective of the climate. If the solar array is insufficient to meet the needed electricity demand: the power will be supplied by the grid. In addition to improved pumping system dependability: full use of 3 PV range and motor drive is complete achievable A single phase voltage source converter (VSC) generating approach achieves a bidirectional control movement between the grid and a voltage source inverter (VSI)' 5 DC bus: whicha. feeds a BLDC engine. The VSI operates at important incidence:nw‘hich reduces exchanging loss. This system achieves maximum powlef'point' - (MPP) functioning of 3 PV range: as wellas performance enhancements such as correction of power factor and grid total harmonic distortion (THD). From the comparison diagram the' efficiency of the proposed converter has 92.3% also the THD Value is 2.12% is acquired. | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. N.LEELAVATHY 4)Dr. B. Kavya Santhoshi 5)Dr. V. Suresh 6)Sivaprasad Kollati 7)T. Amar Kiran 8)Dr. M Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B. Srinivas Raja 11)Dr.V. Kusuma Kumari 12)Dr. T V PRASAD | 202441010167 A | Published | 202441010167 | Published | |
| 50 | BRIDGELESS LANDSMAN CONVERTER WITH HYBRID CONTROL TECHNIQUE FOR POWER FACTOR CORRECTION IN EV APPLIC | 2024 | Electric vehicles (EVs) have emerged to stabilize the transportation sector and move it towards a greener side due to the need for efficient fuel. The power electronics circuits responsible for regulating the voltage during charging of the BES (Battery Energy Storage) must be sufficiently efficient in order to preserve the input power quality (PQ). As opposed to this: conventional EV battery chargers use the AC mains to supply a highly distorted current and draw power from an AC source. This kind of charging uses the AC mains to supply a severely distorted current. The conventional system experiences a rise in losses as a result: and several PQ metrics: including input power factor (PF): show extremely low values. For the purpose of power factor adjustment: this project Suggests using a Hybrid Contro_|le_r Based Bridgeless Landsman ' ‘zg—converter. Artificial neural network- based proportional integral (ANN/PI) controllers help anticipate and classify reaction times. > When connected to a PWM generator: the hyster__e_sis controller calculates the constant frequency of SWltChlng In _the converter and. | generates accurate output. According to the outcomes of the ' MATLA~B simulation: the recommended course of action preserves a low chromatic and more efficient surroundings | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. N.LEELAVATHY 4)Dr. B. Kavya Santhoshi 5)Dr. V. Suresh 6)Sivaprasad Kollati 7)T. Amar Kiran 8)Dr. M Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B. Srinivas Raja 11)Dr.V. Kusuma Kumari 12)Dr. T V PRASAD | 202441010169 A | Published | 202441010169 | Published |
| 51 | SINGLE PHASE UPQC SYSTEM FOR HARMONIC REDUCTION USING OPTIMIZED PI CONTROLLER | 2024 | The harmonic reduction techniques with diverse load conditions were shown to be unreliable in traditional source current. The non— linear loads in harmonics mitigation are the source of several dependability issues. Filters minimise power quality issues and harmonics. To give a dynamic response under differént load situations: these filters are costly. With its series and shunt compensator: the new Unified Power Quality Controller (UPQC) offers better voltage stability and more secure power systems across a range of load scenarios. The Modified Synchronous Reference Frame Theory (SRF) theory is utilised to create the reference current from the AC source current. Counter to the load harmonics: SRF theory generates sinusoidal harmonics. In the PCC: this UPQC has the biIity to inject and absorb reactive power The-Deconnection . Capacitor receives voltage from a tunéd PI controller that is based on the GWO Optimisation approach; The shqnt'apd's-eries compensator réceive .PWM pulses from the hysteresis current controLLer and DO theory. Lastly: We will use the MATLAB 2021a / Simulink Programme to do a number of numerical simULations in order suggésted-cdhtrols. The THD output of the proposed UPQC parameter was found to be 1.49%. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)B. Kavya Santhoshi 4)V.Suresh 5)Sivaprasad Kollati 6)T.Amar Kiran 7)K. Saritha 8)D. Venkateswarlu 9)Subrahmanyam V 10)R.TAMlLKODI 11)B.Sujatha 12)Sri Ram Chandra polisetty | 202441010177 A | Published | 202441010177 | Published | |
| 52 | RECURRENT NEURAL NETWORK BASED FAULT IDENTIFICATION SYSTEM FOR PV SYSTEM INTERFACED THREE PHASE MULT | 2024 | Due to many advantages including zero pollution: simple integration and installation: silent operation: and financial rewards photovoltaic (PV) installations are expanding rapidly all over the world. It is suggested to implement a novel safety mechanism for three—phase grid-tied solar systems that use a Recurrent Neural Network (RNN) technology to detect various kinds of grid failures. The approach involves the extraction of distinctive characteristics from three-phase voltages at the point of common coupling by means of multiresolution singular spectral dynamics. To get information and approximations parameters of RNN: the three-phase voltage signals. Then: by combining spectrum evaluation and multi resolution'analysis With unprediétabilify as the résulf; numerous characteristics between various types of grid faults may be recovered. To recognize and categorize different kinds of problems: an RNN classifier (shows highest accuracy of 94%) uses the create U I features vectors as the input information. The findings show that the suggested intelligent approach performs swiftly in recognizing electrical problems in a grid-connected solar system: in addition to V successfully identifying various types of grid faults. In addition: a graphical analysis is carried out to see how various kinds of grid disturbances affect PV functioning: emphasizing the need for sophisticated. protection techniques to safeguard PV installations. The nine-bus grid-connected PV system: based on MATLAB: is used to verify this concept. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)N.LEELAVATHY 4)B. Kavya Santhoshi 5)V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)M.Sreenivasa Rao 9)T. Jayananda Kumar 10)B.Srinivas.Raja 11)V. Kusuma Kumari 12)T V PRASAD | 202441010178 A | Published | 202441010178 | Published | |
| 53 | SOLAR FED NINE LEVEL QUADRUPLE BOOST INVERTER WITH FUZZY CONTROLLER | 2024 | n recent years: AC high—voltage applications and renewable energy are driving the rising use of multiLevel inverters (MLIs) with switching capacitors. Using the voltage across the capacitor: the switched capacitor (SC) method reduces the amount of DC sources needed to provide the desired yield vo|tage. It takes a lot of work to design a high-gain MLI that uses few sources and switches efficiently. In contrast to the previous SC-MLIs architecture: this work presents modelling of a 9—Ievel (9-L) quadruple boost inverter (NQBI) structure that is supplied by a single photovoltaic system and uses less diodes: switches and capacitors. By skill fully balancing the outputs of the 2 capacitors: the suggested NQB converter generates an output with nine distinct voltage levels. The suggested 9-L QBI architecture is compared to the different SC-MLis to show its advantages and disadvantages. The suggested grid-free QBI that uses solar photovoltaic has been thorougly simuuIated in a MATLAB/SIMULINK environment under varying situations to confirm its effectiveness | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)N.LEELAVATHY 4)B. Kavya Santhoshi 5)V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)M.Sreenivasa Rao 9)T. Jayananda Kumar 10)B.Srinivas.Raja 11)V. Kusuma Kumari 12)T V PRASAD | 202441010180 A | Published | 202441010180 | Published | |
| 54 | HIGH GAIN KY CONVERTER FOR GRID TIED CLEAN ENERGY PV SYSTEM USING CASCADED NEURO FUZZY LOGIC MPPT A | 2024 | Power systems worldwide are looking into new ways to generate electricity as a result of the depletion of fossil fuel—based energy supplies worldwide. The major emphasis of attention is on clean and renewable energy resources (RES): of which wind and solar are two of the best. Although it is sporadic: solar energy is abundant in tropical regions. Therefore: connecting it to the grid is the best way to use it as a dependable power source. If it utilized as a stand-alone power source: measures to address its dispatch ability problems (resulting from its sporadic availability) must be taken to ensure that it continuously provides enough power to its linked loads. The suggested system is said to be interactive since it can function in both islanded and grid—connected modes. Additionally: load management is provided when operating in island mode under low system: the first of which uses 3 KY converter (shows voltage gain 1:12) to maximize power extraction and function as a voltage booster. Cascaded ANFIS controller is employed to tune the parameters of the converter. A two-leg inverter that feeds the available electricity into the grid operates in the second stage. This work is developed using Matlab 20213 simulation | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)B. Kavya Santhoshi 4)V. Suresh 5)Sivaprasad Kollati 6)T.Amar Kiran 7)Behara VRS Bhanu Seshu 8)D. Venkateswarlu 9)Subrahmanyam V 10)R.TAMILKODI 11)B.Sujatha 12)Sri Ram Chandra polisetty | 202441010187 A | Published | 202441010187 | Published | |
| 55 | FUZZY CONTROLLED FIVE LEVEL MODULAR MULTILEVEL CONVERTER FOR GRIDTIED PV SYSTEM | 2024 | As power electronics devices and technology advance: so does the utilization of photovoltaic (PV) systems as a power source of electric distributed power plants (DG). Since massive solar PV power plants can be erected in less than a year: as opposed to the four years it takes for conventional power plants to be set up they are increasingly being chosen as the preferred solution to fulfil the rapidly increasing demand for electrical energy. Such large-scale PV plants may be connected to the medium-voltage (MV) grid most effectively with modular multilevel inverters (MMls) because of their many advantages: including improved efficiency: better power quality: greater dependability: and flexibility. Nevertheless: before MMls can be installed secured gt riil: medium:voltage netWorks they continue to be improved upon. The main objective of this work IS to evaluate the configurations of the currérit MMls when applied to solar power applications. The article seeks‘to provide an in—depth analysis of the several contemporary submodule circuits connected to MMI topologies. Uncertain reasoning are closely at maximum power point tracking (MPPT) control strategies for PV inverters. Subsequently: an in-depth discussion: of' the sub module balancing procedures: ranges: and capacities under balanced and unbalanced grid settings will be provided by presenting and contrasting the various control strategies of PVMMIs. It is determined that when compared’to a normal PI controller: the fuzzy controlled system performs better and..has a lower THD value of 2.44% and-less settling'time of 0.37 secs. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)B. Kavya Santhoshi 4)V. Suresh 5)Sivaprasad Kollati 6)T.Amar Kiran 7) Sayyed Hazara Mehabunnisa 8)D. Venkateswarlu 9)Subrahmanyam V 10)R.TAMILKODI 11)B.Sujatha 12)Sri Ram Chandra polisetty | .202441010203 A | Published | 202441010203 | Published | |
| 56 | FIREFLY OPTIMIZED INTERLEAVED SEPIC CONVERTER FOR EV CHARGING APPLICATIONS | 2024 | These days: the world is paying close attention to Electric Vehicles (EVs) because of the ongoing advancements in energy storage technologies: power electronic converters: motor drives: and suitable-control theories. One of the home transportation technologies that will soon be greatly favored over traditional automobiles is EVs. Since the power produced by DC sources fluctuates simultaneously and is not stable: converters are necessary to alter the power as needed. The potential of interleaved Single— Ended Primary Inductor Converter (SEPIC) technology to increase DC source voltage for EV applications is the main focus of this study. Given the inherent instability of DC power from sources: converters play a crucial role in regulating power output. A Proportional—Integral (PI) controller is employed to manage converter 'voltage: and optimization of PI controller parameters is achieved through Firefly ’ Optimization. The stabilization of the DC link voltage contributes to ' - enhanced. battery’S performance: making it a promising solution for the industry The proposed work is simulated in MATLAB to validaté the anticipated outcomes of the process.FIREFLY OPTIMIZED INTERLEAVED SEPIC CONVERTER FOR EV CHARGING APPLICATIONS. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)N.LEELAVATHY 4)B. Kavya Santhoshi 5)V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr G satyanarayana 9)Mr. Siva Ganesh Chinthakula 10)Ms. K. Arunasri 11)Dr.Ch. Leela Kumari 12)Mr Bollu Prabhakar | 202441010218 A | Published | 202441010218 | Published | |
| 57 | PFC CONTROLLED ACTIVE PWM RECTIFIER FOR WIRELESS EV CHARGER APPLICATIONS WITH INTERLEAVED LLC SYNCHR | 2024 | EVs use rechargeable battery packs to store electrical energy: which must be periodically recharged. Efficient and fast charging of EV batteries is essential to make them practical for everyday use. There are various methods of charging EV batteries: ranging from slow charging through household outlets to fast charging at public charging stations. With advancements in technology: the development of sophisticated charging systems has become a focus of research and development: with the aim of improving charging efficiency: reducing charging times: and prolonging battery life. This project proposes interleaved High frequency inverter based Isolated EV charger. The design of a single phase high frequency inverter using pulse width modulation (PWM) control circuit which eliminates the use of complex circuitry to generate sinusoidal pulses for transistor switches. Here we are implementing Power Factor Corrector (PFC) converter and synchronous rectifier for driving renewable applications. This control approach intensely enlarges the adjustable output voltage range and smoothly output the target voltage. The isolation transformer provides a protective measure through electrical separation. The interleaved parallel topology based synchronous rectifier reduces the high frequency rectification losses. The capacitive filter decreases the ripple voltage contents of the output voltage. The performance analysis of this technique is implemented in MATLAB/Simulink environment. In this work: the comparison between the rectifier efficiency is 83.5% and settling time is 0.28seconds is mentioned. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)N.LEELAVATHY 4)B. Kavya Santhoshi 5)V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr G satyanarayana 9) Ms. K. Saritha 10)Ms. Kunche Gowtami 11)Ms. Padmasree Mannava 12)Dr Ch. Leela Kumari | 202441010219 A | Published | 202441010219 | Published | |
| 58 | BI-DIRECTIONAL POWER FLOW CONTROL FOR THREE PHASE GRID TIED CONVERTERS IN EV CHARGING APPLICATIONS | 2024 | Climate change: environmental deterioration and the depletion of fossil fuels have caused the costs related to conventional energy have skyrocketed recently. As a result: using clean: innovative energy is urgently needed on a worldwide scale. Both smart grid technology and electric vehicles (EVs) are widely used throughout the world. The VehicleLto-Grid (V26) has been the main focus of increasing amounts of attention. A crucial element of the V26 hybrid system is the Bi directional grid-connected AC/DC converter: which facilitates bilateral power transfer while meeting grid power quality requirements. A Bi-directional Power flow control for three phase grid‘tied converter is presented in this study. It can offer bidirectional power transfer between EVs and the grid in addition to correcting reactive power and lowering power grid volatility. introducing the VZG system setup andvcreating the mathematical model for the AC/DC converter are the first tasks. The next step is to propose an analysis of the Pl control method and build a controller. D—Q—O theory finds use in efficiently synchronisingthe grid and controlling ripple current in the grid current. The basis for the system-simulation model is MATLAB/Simulink. | Engineering | 1)P.M.M.S.SARMA 2)D.Ravi Kishore 3)N.LEELAVATHY 4)B. Kavya Santhoshi 5)V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr G satyanarayana 9) Ms. K. Saritha 10)Ms. K. Arunasri 11)Mr. P. Chakra Rao 12)Mr.Bala Raju | 202441010222 A | Published | 202441010222 | Published | |
| 59 | CASCADED FUZZY LOGIC CONTROLLER FOR VOLTAGE SAG/SWELL MITIGATION IN DVR BASED POWER QUALITY IMPROVEMENT | 2024 | Customers demands for excellent power quality have greatly grown recently. Conventional electrical gadgets: sometimes referred to as D-FACTS devices: that guards sensitive loa‘jds against voltage fluctuations in distribution networks includes D-STATCOM: DVR: and UPQC. Two types of manufacturing procedure répercussions may be distinguished: increased sensitivity to intermittent failures (such voltage sag in distribution systems) and nonlinear and unbalanced loads. The DVR is a piece of equipment that was linked in series and controls the loading voltage by supplying the system with voltage. DVRs are typically placed in netWorks of distribution between sources and feeders of sensitive log-ads. The primary responsibility is to prevent any disconnections during disturbances by quickly supporting the load voltage (using a fast detection algorithm). The cascaded fuzzy logic controller techniques presénted in this study are widely employed in voltage transrfiiésion and distribution systems to compensate for voltage sag and swell This project describes a dynamic voltage restorer based} on the average identifying -methodology for single- phase power system:s in addition to discussing the usage of DVR to restore voltage sag and swéll in distribution. infrastructure using an alternative pgr- unit: value approach (average detection). The results. of the three-phase voltage sagén and Well simulation have been given by SIMULINK/MATLAB | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr G satyanarayana 9) Ms. K. Saritha 10) Mr. P. Chakra Rao 11) Dr Ch. Leela Kumari 12)B.MANMADHA RAO | .202441010223 A | Published | 202441010223 | Published | |
| 60 | PROBABILISTIC NEURAL NETWORK-BASED BATTERY ENERGY MANAGEMENT SYSTEM FOR GRID-TIED HRES SYSTEM FOR EV | 2024 | Global warming and other negative environmental effects have been caused by the mining of fossil fuel resources as a result of the sharp rise in the demand for power around the world. By using electric vehicles (EVs): which have a number of socioeconomic and environmental advantages: several governments are attempting to transform conventional forms of transportation into green transportation systems. These EVs don't directly use fossil fuels: but they do use more of them because of the electricity they receive from the fossil fuel based power distribution infrastructure. Because of this: scientists are trying to create more affordable and ecologically friendly renewable sources of energy in an effort to reduce the difference between the availability and demand of electricity. Here: we employ a grid-tied method based on hybrid renewable energy sources (HRES) to charge EVs. Uneven voltage: frequency: and supply-demand are all consequences of EVs and the grid: which affect the overall power system To solve these problems: this project presents workable optimisation strategies. Utilising a Probabilistic Neural Network (PNN):the lithium-ion battery's state of charge (SOC) is calculated when it is first charged utilising hybrid renewable energy sources. In this study: violtage is increased or decreased by a bidirectional BIFRED converter that is increased and Observe (P&O) MPPT (maximum power point tracking) regulated. Power is removed from the grid if the demand for EV charging is greater than the amount of power produced by HRES; if the demand for EV charging is less than the amount of power produced by HRES: excess power is fed' back into the system. Pl controllers are also used to control active and' reactive electricity and synchronise the grid. MATLAB simulation is used to validate the suggested approach | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr. M.Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B.Srinivas.Raja 11)Dr. V. Kusuma Kumari 12)Dr. T V PRASAD | .202441010224 A | Published | 202441010224 | Published | |
| 61 | SYSTEM FOR POWER QUALITY MITIGATION ISSUES AND UNBALANCED LOADS IN GRID SYSTEM WITH NOVEL INVERTER | 2024 | : Through the implementation of novel technologies: this initiative tackles important problems of power quality and dependability within electrical grids. It uses a four-leg Voltage Source Inverter (VSI) in combination with the Self—Lift Luo (SLL) converter to create a strong single-stage power converter design that successfully addresses power quality problems. The primary objective of this framework is to control power quality problems in a grid system by putting For delicate devices and loads that need a steady power supply: four- leg inverters are used in this approach to adjust for voltage sags and swells and ensure a stable and consistent supply voltage. In order to do this: a Particle Swarm Optimization (P50)- optimized proportional-integral (PI) controller is used to precisely and effectively regulate the SLL converter. By adjusting to varying temperature and grid dynamics: the PSO tuning approach makes certain the controller operates at peak efficiency. In addition: the four-leg inverters of the work uses a feedback line controller approach to improve control efficiency for both linear and nonlinear load currents. Grid system dependability is greatly increased by this method: especially when handling imbalanced loads. The work's -~-iritvegrated strategy is essential for tackling power quality problems . _and fixing power problems in grid systems. A thorough and efficient solutionis obtained by the use of the four—leg VSI: PSO-tuned PI controller: and SLL converter which shows high voltage gain of 1:10. MATLAB 2021a/Simulink software is utilized for computational studies: which validate the efficacy of this novel technology in reducing power quality issues and guaranteeing the dependability of grid systems across a range of operational scenarios. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr. M.Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B.Srinivas.Raja 11)Dr. V. Kusuma Kumari 12)Dr. T V PRASAD | .202441010226 A | Published | 202441010226 | Published | |
| 62 | IMPROVEMENT OF POWER QUALITY IN THREE PHASE SYSTEM USING ADALINE BASED MULTILEVEL INVERTER WITH IMPR | 2024 | Harmonics are considered as the source of harmonics which is produced due to the widely use of power electronics appliances. The harmonics caused appliances affect the stability and reliability in the power distribution system. Therefore: in order to reduce these affects this work concentrate on reducing the harmonics-using power converters with different adaptive controlling techniques. Here: a SP- 4W H-bridge interleaved buck-type active power filter (HILBAPF) is implemented. HILBAPF has been developed to overcome the problems incurred by the conventional multilevel inverter in balancing'the capacitor voltages and' to exclude the interfacing transformer. The control of voltage source inverter (VSI) is achieved using particle swarm optimization (PSO): Adaptive particle swarm optimization (APSO) techniques. The performa | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr.N Leelavathy 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6 )Sivaprasad Kollati 7) T.Amar Kiran 8) Mr. Siva Ganesh Chinthakula 9) ADAPA SUDHEER KUMAR 10) S. Bala Raju 11) Y. Anand Kumar 12) Vonod Varma | 202441010228 A | Published | 202441010228 | Published | |
| 63 | POWER QUALITY IMPROVEMENT WITH D-STATCOM USING COMBINED LCL-COMB FILTER AND OPTIMIZED PI TUNED CLASS | 2024 | Class Topper Optimized Proportional Integral (CTO-Pl) and Synchronous Reference Frame (SRF) based Power Quality (PQ) Improvement has been proposed in this novel. The proposed system enables Distribution Synchronous Static Compensator (D-STATCOM) to provide a variety of additional services: such as reduction of ‘voltage flickers: elimination of harmonics: load balancing: voltage sag: and impulsive and oscillatory transients. Additionally: it actively feeds electricity into the utility grid. D—STATCOM captures the fundamental in-phase and quadrature components of current exactly because it uses CTO—PI to function. By introducing high-gain at the Jhird-pqhgrimonic: it reduces stationary errors in the 3 (p inverter's current control loop. In order to effectively’mitigate harmonics in the source current: the proposed LCL-Comb filter reduces the current harmonics Using SRF: it ensures quick power balance between the inverter unit and the electric grid. For a variety of load types: DSTATCOM performance is determined to be - satisfactory when using the suggested control algorithm. Together with the required equations in the MATLAB simulator: the comprehensive modelling and simulations of various control schemes are developed | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8) Dr G satyanarayana 9) Mr. P. Chakra Rao 10) Mr Bollu Prabhakar 11) Dr Ch. Leela Kumari 12) 2)R.V.L.N.S.Parvathi | 202441010229 A | Published | 202441010229 | Published | |
| 64 | 13-LEVEL PV GRID-TIED MULTILEVEL INVERTER FOR POWER QUALITY IMPROVEMENT | 2024 | Recently: the use of renewable energy sources (RES) has grown in prominence as a way to guarantee sustainable growth. RES include geothermal: wind: biomass: and solar power. However: because of their minimal maintenance requirements and simplicity of supply: wind‘and solar power are the most often used. In order to enhance power quality for grid-connected networks: this work suggests and develops a dependable controller for a Boost converter that comprises a 13-Level inverter. Several voltage sources are required for MLI: and because of inverter architecture and switching techniques: most MLIs have different loads that utilize the power sources. Employing a boost converter managed by a PI controller enhances PV output since it is more straightforward: useful: and providés Subéfib’r‘b’owiéfifiréERifig’.’ KfiégyklfiiiffiéWé/Eagrcadgefi 'iiire/Véli multilevel inverter (MLl)which is around 1.54% less THD and shows highest efficiency of 94.5% is presented in this work as a step across improving grid power quality (PO) and converters. The sinusoidal PWM approach is used to regulate the inverter. The LC filter is used - ‘to feed the MU output to the grid or load. MATLAB simulation is used to-verify the suggested approach | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8) S.Bala Raju 9) Siva Ganesh Chinthakula 10) Mr Bollu Prabhakar 11) Dr Ch. Leela Kumari 12) Vinod Varma | 202441010231 A | Published | 202441010231 | Published | |
| 65 | SMART CONTROL AND REDUCED SWITCH BASED SWITCHED CAPACITOR TWENTY NINE LEVEL INVERTER FOR PV APPLICAT | 2024 | The creative framework for a universal cascaded switched capacitor MLI (multilevel inverter) proposed in this research is based on the transmitted connecting of several switching capacitors components. For high voltage submissions: this architecture is recommended since all of the switches utilized have voltages lower than their maximum output voltage. One advantage of this proposed configuration is that it can increase the input power sources' magnitude by utilizing switched capacitor units. Switching angle-based control has been used to decrease the number of components needed to offer the greatest number of voltage levels at the output and improve power delivery quality. Several parallels with the patterns suggested in the most recent literary works highlight additional advantages of the suggested framework. The input DC source is converted into a 29 level output voltage using threenDC sources: Iwelve switches: and one switched capacitor. Based on utilizing the maximum voltage on ' the power switches and utilizing less hardware: the proposed .. construction performed better: according to the data. The _-effectiveness of the recommended inverter is validated by obtaining several test results for the 29—Level inverter. Finally: the proposed .29- level inverter would be a preferable choice for usage in solar sy_$tems. This project is developed using the Mat lab 2021a énvironmental software. When the inverters are compared: the Twenty Nine level inverter has a THD Value of 3.66% and the paper's total efficiency is 92.6% | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr. M.Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B.Srinivas.Raja 11)Dr. V. Kusuma Kumari 12)Dr. T V PRASAD | 202441010232 A | Published | 202441010232 | Published | |
| 66 | INTELLIGENT DC CHARGING SYSTEM FOR ELECTRIC VEHICLES USING THREE PHASE GRID SYSTEM AND ANNCONTROLLE | 2024 | The goal of this project is to create an intelligent system that employs a seamless DC power transfer mechanism to effectively transfer electicity from a Grid system to charge the batteries of electric vehicles. A three-phase grid connection: an electric vehicle induction motor: a PWM rectifier: and an artificial neural network (ANN) controller are the main parts of this system. The procedure starts with electricity drawn from the three-phase grid system and used to run an induction motor made specifically for electric cars. The battery charging system receives the output of the induction motor and effectively transforms the electrical energy into DC power. This paper PWM rectifier: which serves as a link between the battery charging system and the motor: is vital. A cutting—edge ANN controller carefully regulates the rectifier. Because of its intelligence: the ANN controller can adjust to different Working environments: | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8)Dr. M.Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B.Srinivas.Raja 11)Dr. V. Kusuma Kumari 12)Dr. T V PRASAD | .202441010233 A | Published | 202441010233 | Published | |
| 67 | ZETA BOOST CONVERTER FOR GRID TIED PV FED EV CHARGING WITH AN IMPROVED GWO OPTIMIZED CONTROLLER | 2024 | The increasing need for power and the depletion of fossil fuels: the electric vehicle (EV) and renewable energy production have advanced significantly. In addition: when EVs are grouped together at a charging station: it consumes a tremendous quantity of power: which might have an adverse effect on the grid's ability to function. Consequently: it is thought that implementing renewable energy on the charging facility's end offers an intriguing a mutually beneficial out come. Charge stations may significantly lower the amount of energy they need from the electrical grid and hence lower the mount of grid capacity that is needed by incorporating renewable energy. Therefore: this study proposes a Novel Integrated Improved GWO (IGWO) (shows less settling time of 0.15 secs) optimized Zeta-Boost Converter (ZBC) for Grid Tied PV Charging Station Uses. While photovoltaic panels offer many benefits: they also have several drawbacks: such’as their reliance On ‘certain'environmental factors. A. Pl controller built around optimization techniques was implemented to address this. At first: solar power and the smart grid are used: to: charge lithium-ion batteries. Utilizing an inbuilt DC/DC ZBC with 'a high voltage gain of 1212': surplus power is sent to the grid via a single-phase inverter. Simulink and MATLAB 20213 are used. to simulate and evaluate the suggested approach. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8) Siva Ganesh Chinthakula 9) R.V.L.N.S.Parvathi 10) S.Bala Raju 11) Kosuri Sravani 12) Vinod Varma | 202441010234 A | Published | 202441010234 | Published | |
| 68 | NEURO FUZZY LOGIC ALGORITHM BASED WECS-PMSG INTERFACED WATERPUMPING SYSTEM ALONG WITH BATTERY-ENERGY | 2024 | This project is about developing an effective way for ensuring optimal flow of electricity in a renewable energy-powered water pumping system. This work intends to find a worldwide monitoring method with an ideal modification of the DC bus power augmentation in this setting. A Neuro fuzzy logic algorithm is used as the primary optimizer of the supervision power transfer in the proposed study to enhance the diverse power flows shared between the network's components. The proposed configuration also eliminates the undesired capacitive feedback cycle: as well as the undesired conductivity through the body transistor of the inactive switches in the earlier established Bridge less Isolated Cuk converter. This enhances the charger's performance greatly. A wind turbine (WT) is obligatory as the primary: renewable energy basis: and it is linked £0 a battery energy storage system (855) to maintain the electrical supply stability of ah induction motor pump unit. The proposed converter's improved effectiveness and power indexes are studied to verify its excellent charging performance under all operational situations. In this paper the comparison of the proposed MPPT efficiency as (93. 2%) and the efficiency of the proposed converter as (91%) | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr N.LEELAVATHY 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6)Sivaprasad Kollati 7)T.Amar Kiran 8) Ms. K. Arunasri 9) S.Bala Raju 10) Mr Bollu Prabhakar 11) Dr Ch. Leela Kumari 12) R.V.L.N.S.Parvathi | 202441010238 A | Published | 202441010238 | Published | |
| 69 | EQUAL CURRENT SHARING BETWEEN PARALLEL CONNECTED SECOND ORDER AND INTERLEAVED BOOST CONVERTER IN MIC | 2024 | The various renewable energy sources have varied energy levels at different time durations: it is impossible to connect them all to a single DC bus in nature. Furthermore: this single device is inadequate and inadequate for energy delivery. This sparks the concept of Regional. Energy Sources. This gives rise to the idea of Distributed Energy Sources. Thus: dispersed electrical power is described as the substitution of one UPS unit with numerous smaller UPS units operating in addition: increasing the supply method's dependability as well as energy capabilities. The output voltage from the PV system is enhanced with the aid of a Second Order boost Converter. The Second Order boost Converter: boosts the output voltage of the PV system. In order to track the maximum power from PV system: an Adaptive Neuro Fuzzy (ANFIS) based Maximum Power Point Tracker(MPPT) technique is employed. The output reference signal is fed to the_dc-dc converter: through a PWM generator: which increases the on time of the duty cycle. The Interleaved Boost Converter boosts the output voltage of the PV system. Droop approaches for equitable power. distribution in parallel-connected DC to DC converters: where the droop factor is changed to equalize the level of charge of energy storage batteries devices. The excess energy from the PV system is stored in a-battery using a bidirectional battery converter and it assists in equal current sharing. In order to maintain constant dc link voltage: a Proportional Integral (PI). controller technique is employed. The output from the Pl: is fed to the interleaved boost converter: through a PWM generator: which increases the on-time of the duty cycle. The proposed strategy is validated through simulation using MATLAB 2021 a /Simulink software. In this paper the comparison between the accuracy of the converter has 92.4% and the ANFIS tracking efficiency has 93.5% is predicted. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr B. Kavya Santhoshi 4) Dr V. Suresh 5 )Sivaprasad Kollati 6) T.Amar Kiran 7)Yalla Ananda Kumar 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | .202441010240 A | Published | 202441010240 | Published | |
| 70 | NOVEL ARTIFICIAL NEURAL NETWORK BASED DROOP CONTROL FOR HYBRID ENERGY STORAGE SYSTEMS IN DC MICRO | 2024 | In recent times: hybrid energy storage systems (HESS) have emerged as a global alternative for supplying ongoing: dependable: and sustainable energy for electronic gadgets. Numerous advantages of energy storage systems may be correctly integrated by employing different methods: and a sufficient supply of energy for specific uses is attainable. For effective power management: the ideal Artificial Neural Network Based Droop Management for HESS based direct current micro grid is created in this study. HESSs are two or more interconnected systems for storing energy that may operate as a single unit: with one outperforming another: such as batteries: fuel cells: SCs: and so on. The voltage control loop and current control looping of the battery and SC are controlled by three Artificial Neural Network controllers: sequentially. The voltage control loop adjusts grip voltage: whereas the current control mechanisms mitigate for power imbalances between the SC and the battery when the source and lead vary. Bidirectional Buck Boost Converters (BBC) are modeled: analyzed: and designed. The best Droop-ANN controller is built for a BBC With a battery and a SC for retention. With modifications In source and load fluctuations: the efficiency of the proposed optimum Droop ANN controller-based HESS IS examined. With modifications to the supply and load: the controller successfully adjusts the DC grid voltage. The recommended optimum ANN controller's efficacy is compared to the traditional PI controller technique for HESS. Mat lab 2021 a software is used to validate the I proposed work. The comparative table shows that the recommended converter has a-v settling time of 0.2 seconds. | Engineering | 1)Dr. P.M.M.S.SARMA 2)Dr. D. Ravi Kishore 3)Dr. N.LEELAVATHY 4)Dr. B. Kavya Santhoshi 5)Dr. V. Suresh 6)Sivaprasad Kollati 7)T. Amar Kiran 8)Dr. M Sreenivasa Rao 9)Dr. T. Jayananda Kumar 10)Dr. B. Srinivas Raja 11)Dr.V. Kusuma Kumari 12)Dr. T V PRASAD | 202441010241 A | Published | 202441010241 | Published | |
| 71 | POWER QUALITY IMPROVEMENT IN SWITCHING QUASI IMPROVED SEPIC CONVERTER AND VOLTAGE SOURCE INVERTER | 2024 | The increase in nonlinear loads in the electric power system and the usage of power electronics equipment are contributing factors to the growing severity of the harmonic pollution issue. For example: contemporary frequency converters for electricity generate an abundance of inter-harmonics and non-characteristic harmonics: among other harmonic elements that can seriously impair the quality of the power supply voltage in addition to characteristic harmonics typical of optimal converter operation. Precise measurement of these harmonic components is essential for the dependable and economical functioning of power systems: as it forms the basis for tracking and resolving this issue. For a single-phase grid system: a switching quasi-improved SEPIC converter (SQISC) which shows efficiency of 96.8% is suggested in this research. By using a PWM control circuit: the structure and design of a single-phase VSI avoids the need for complex circuitry that produces sinusoidal pulses for inverter switches. Here: power quality (PQ) is improved and raise the output voltage Using SQISC and a suitable control method. Switching losses IS lessen and enhance the power factor adjustment procedure by using SQISC. Additionally: advancements are being made to broaden the applicability in other domains: including motor drives: electric cars: enhanced PQ: and several high- power applications. This: lowers switching loss and extends the converter life by considerably increasing the output voltage and cutting down on the power conversion time. The ripple voltage content of the output voltage is decreased using the capacitive filter. A performance analysis of this method is performed- using the MATLAB‘ 20213/Simulink software environment. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr B. Kavya Santhoshi 4) Dr V. Suresh 5 )Sivaprasad Kollati 6) T.Amar Kiran 7) Kosuri Sravani 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | .202441010242 A | Published | 202441010242 | Published | |
| 72 | IMPROVED POWER QUALITY IN DFIG BASED WIND ENERGY CONVERSION SYSTEM USING WHALE OPTIMIZATION TECHNIQU | 2024 | In order for the globe to meet its energy requirements in the future: renewable energy sources (RES) are essential. Many dispersed generations like RESs and non-linear loads are features of the power electronics-based current power system design: which has caused a number of power quality (PQ) issues to arise. Regarding a double fed induction generator (DFIG) driven wind energy conversion system (WECS): this research suggests an optimal control mechanism. The sophisticated controllers system is used for the adaptive modification of the discontinuity control gain: reducing the phenomenon of chattering in the stimulation network while maintaining the resilience of the closed-loop system. The PWM: rectifier is highest-possible voltage iS tracked by the PI Controller: which also provides increased dependability. Initially: the DFIG and turbine modeling will be introduced. The rotor dimensions are then changed to achieve vector control over both the reactive and active power when utilizing the suggested whale optimization tuned PI controller. The converter's objectives are to deliver input Currents with a reasonable harmonic content in order to run at a power-factor of one. Extraction of maximum real power occurs at the interface between the DFIG and the powers electronic converter. Lastly: it's going to use the MATLAB 2021a / Simulink program to do a number of computational simulations-in order to verify the suggested controls. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr B. Kavya Santhoshi 4) Dr V. Suresh 5 )Sivaprasad Kollati 6) T.Amar Kiran 7)Polina Revathidevi 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | 202441010245 A | Published | 202441010245 | Published | |
| 73 | IMPROVED INC MPPT CONTROLLED SELF LIFT LUO CONVERTER FOR GRID TIED PV SYSTEM UNDER PARTIAL SHADING C | 2024 | The growing need for solar energy as a renewable resource has created new difficulties for the energy sector. Nonetheless: the ability of photovoltaic (PV) power generation technology to be directly connected to the grid power generation system and satisfy the demand of rising energy consumption is one of its primary benefits. Partial shading have a negative impact on a PV system's performance ratio (PR). It is frequently seen in residential rooftop solar photovoltaic (PV) installations. This results in a decrease in the power output of the solar panel. in order to get around this: continuous duty cycle variation schemes for Maximum Power Point Tracking under partial shading conditions have been proposed. In this scheme: a high gain self-lift Luo converter is connected to PV module to enable the highest output voltage possible under any condition. An Improved Incremental Conductance (Inc) based MPPT: has been implemented to track the MPP even when there are other local maxima present. The suggested method Increases .the systems compactness by tracking MaximUm Power Point (MPP) through continuous duty cycle Variation of the converter withoUt the heed 6f expensive parts like microprocessors and signal converters In a grid interface: the converter objectives are to deliver input currents with a manageable harmonic content and run at unity power factor. Using MATLAB 2021a/Simulink: a number of numerical simulation is performed in order to validate the suggested scheme. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr B. Kavya Santhoshi 4) Dr V. Suresh 5 )Sivaprasad Kollati 6) T.Amar Kiran 7)ADAPA SUDHEER KUMAR 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | .202441010248 A | Published | 202441010248 | Published | |
| 74 | NEAR UNITY POWER FACTOR CORRECTION VIENNA RECTIFIER FOR PLUG-IN TYPE THREE PHASE EV CHARGING STATION | 2024 | In order to lessen the consequences of global. warming: battery powered plug-in electric vehicles (PEVs): are a promising technology that can replace internal combustion engine vehicles. Compared to ICE cars: the percentage of BEVs will increase to 18% by 2030. The charging stations have been the main obstacle to increasing the number of BEVs lately. The power quality of the BEVs connected to the charging stations is lower and does not match IEEE requirements. This project suggests using a power factor correction (PFC) controller with a Vienna rectifier. With advantages including fewer switches: a straightforward design: high power density: and the ability to achieve unity power factor and less than 5% total harmonic distortion: the Vienna rectifier is the preferred option for high power applications. quality problems like total harmonic distortion and power factor by controHingthe Vienna rectifier. MATLAB/Simulink His-used to simulate a Vienna rectifier with 3 PFC controller. The p'OWér quality is compared and examined. MATLAB/Simulink is used to verify the Vienna rectifier's efficacy. | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr.N Leelavathy 4) Dr B. Kavya Santhoshi 5) Dr V. Suresh 6 )Sivaprasad Kollati 7) T.Amar Kiran 8) Kandukuri Saritha 9) ADAPA SUDHEER KUMAR 10) Kunche gowthami 11) K. sravani 12)Y. Anand Kumar | .202441010250 A | Published | 202441010250 | Published | |
| 75 | SINGLE INPUT MULTI OUTPUT FORWARD CONVERTER FOR EV CHARGING APPLICATION | 2024 | Now a days: charging the Electric vehicle (EV) battery is the main concern. To make complete carbon free or emission less transportation: charging the battery using Non-Renewable energy will not suite well. For the development Environment and to withhold the sustainability of the society: we need to preserve the conventional energy resources and use the abundant energy called Renewable energy. Integrating this with EV could be called as complete carbon free transportation. Hence: electric vehicle battery charging using DC-DC converter connected PV system is used. The Existing EV Charging converters has two major issues. The DC/DC converters of the existing EV charging applications are_Single Input Single Output Converters where each EV battery needs an individual converter. These converters are Non-isolated converter where the reverse current may damage the PV source. In order to mitigate ‘these issues: Design of forward converter for EV charging application | -is proposed in this project. This Forward converter is a Single Input Multi Output tybe converter with Galvanic Isolation for Safety. Thus the Forward Converter can charge multiple EV batteries with single P.V source safely and' efficiently. The converter is controlled by a sophisticated F} control system for smooth processing. The proposed strategy is validated through simulation using MATLAB 2021a /Simu|ink software and the hardware is developed using DSP|C30F4011 controller. The efficiency of the proposed Forward converter has 94.6% and=voltage gain is 8V is mentioned in the comparison chart | Engineering | 1) Dr P.M.M.S.SARMA 2) Dr D.Ravi Kishore 3) Dr B. Kavya Santhoshi 4) Dr V. Suresh 5 )Sivaprasad Kollati 6) T.Amar Kiran 7) Kunche Gowthami 8)Dr. D. Venkateswarlu 9)Dr. Subrahmanyam V 10)Dr. R. TAMILKODI 11)Dr. B. Sujatha 12)Dr. Sri Ram Chandra Polisetty | .202441010252 A | Published | 202441010252 | Published |
| 76 | ANFIS MPPT BASED Z SOURCE INTEGRTED BOOST CONVERTER FOR GRID TIED HYBRID ENERGY SOURCE | 2024 | The proposed invention introduces a grid-tied hybrid energy source system designed to power electric vehicle (EV) charging infrastructure efficiently and reliably. Combining photovoltaic (PV) panels: fuel cells: an energy storage system (ESS): and grid connectivity: the system ensures a continuous power supply for EV charging stations. An intelligent maximum power point tracking (MPPT) algorithm optimizes PV panel operation: while a novel boost integrated Z-source converter efficiently converts DC power from PV panels and fuel cells into AC power for grid-tied operation. By integrating multiple renewable energy sources with grid connectivity: the system enhances grid stability and reliability: reducing dependence on centralized power plants. Furthermore: the inclusion of advanced control strategies and hardware implementation enables real-world validation and performance optimization. Overall: the proposed invention offers a transformative solution for addressing the interconnected challenges of climate change: energy sustainability: and transportation electrification through innovative renewable energy integration. | Engineering | 1. Dr. Suresh Vendoti 2. Dr. D. Ravi Kishore 3. Amajala Manikanta Sai Charan 4. Mohammad Imran 5. Mohammad Mahaboob Ashad Ali Pasha 6. Mr. Bollu Prabhakar 7. Dr.Ch. Leela Kumari 8. Ms. Kosuri Sravani 9. Ms. R.V.L.N.S.Parvathi 10. Dr. G. Satyanarayana | 202441017082 A | Published | 202441017082 | Published | |
| 77 | HIGH-PERFORMANCE CONTROLLED PWM RECTIFIER WITH ISOLATION TRANSFORMER FOR SHIPPING APPLICATIONS | 2024 | Our proposed invention introduces a novel solution for efficient charging of electrical vessels in maritime ports. With maritime transport being the backbone of global trade: the demand for energy-efficient solutions is paramount. Our system integrates a high-performance controlled PWM rectifier with an isolation transformer to address the challenges associated with charging vessels of varying frequencies. By utilizing pulse width modulation techniques: our invention allows for precise control over output voltage: ensuring seamless charging of vessels operating at different frequencies. The integration of an isolation transformer provides galvanic isolation protection: enhancing safety and reliability in charging operations. Additionally: our system's compatibility with vessels of different frequencies promotes the adoption of electrical vessels: contributing to the reduction of greenhouse gas emissions and pollutants in the maritime industry. Overall: our invention represents a significant advancement in maritime energy management: offering a comprehensive solution to the complexities of charging electrical vessels in diverse port environments. | Engineering | 1. Dr. Suresh Vendoti 2. Dr. D. Ravi Kishore 3. Bootu Suresh 4. Suraboina Sankeerthana 5. Nimmana Venkanata Manikanta Ganesh 6. Dr. B. Kavya Santhoshi 7. Mr. T. Amar Kiran 8. Mr. Adapa Sudheer Kumar 9. Mr. S. Bala Raju 10. Ms. K. Arunasri | 202441017106 A | Published | 202441017106 | Published | |
| 78 | AN IMPROVED SEPIC CONVERTER BASED INTELLIGENT MPPT TECHNIQUE FOR ESS OF RAILWAY STATION CONNECTED TO MICROGRID SYSTEM | 2024 | The invention pertains to an advanced energy storage system incorporating an improved Single-Ended Primary-Inductor Converter (SEPIC) and an intelligent Maximum Power Point Tracking (MPPT) technique. Claims include the novel SEPIC design for enhanced energy conversion efficiency: an intelligent MPPT algorithm for optimal energy extraction under variable conditions: integration capabilities with various renewable sources: improved system stability and reliability: reduced maintenance needs: and increased energy storage lifespan. The abstract highlights the system's ability to significantly enhance the efficiency and reliability of renewable energy storage by combining an optimized SEPIC converter with a smart MPPT technique: ensuring maximum power extraction and sustainable energy management in a wide range of environmental conditions. This innovation marks a significant step forward in renewable energy technology: offering a robust solution for improving the viability and effectiveness of energy storage systems | Engineering | 1. Dr. Suresh Vendoti 2. Dr. D. Ravi Kishore 3. Mr. Pudi Hemanth Kumar 4. Mr. Muddala Sudarsan 5. Mr. Rayudu Rajesh 6. Mr. Sivaprasad Kollati 7. Ms. K. Saritha 8. Mr. Siva Ganesh Chinthakula 9. Ms. Kunche Gowtami 10. Mr. Yalla Ananda Kumar | 202441017085 A | Published | 202441017085 | Published |
