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Efficient Energy Exchange in V2G System for enhanced Power Quality 3

Efficient Energy Exchange in V2G System for enhanced Power Q...

3rd International Conference on Intelligent and Innovative Technologies in Computing, electrical and electronics, IITCEE 2025

作者： Padmavathi, R. Sivakumar, P. Sai Charan, S.A. Kanna, Mogesh Kalaivani, R. Jagadeesh, V. Rajalakshmi Engineering College Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798331515911

The Creation of Vehicle-to-Grid technology was driven by the rise of electric vehicles and grid concerns with regard to renewable energy sources. The suggested system outlines the push-pull inverter based V2G, which is an essential part of the bidirectional power flow between electric vehicles (EVs) and the grid. By effectively converting power from one form (DC) to another form (AC power for grid injection during discharging and, conversely, by converting grid Alternating power to Direct power during charging, the push-pull inverter enables this dual functionality. To precisely detect and synchronize with the grid's voltage and frequency, a PLL control technique is used. This guarantees that the output of the inverter is exactly in line with the properties of the grid, From the MATLAB Simulink study, the power quality improvement and energy management of the system is reflected in this paper. © 2025 IEEE.

关键词： Vehicle-to-grid

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Synergistic Energy Integration: Power Generation, Biofuel Production and Methane Pyrolysis

Synergistic Energy Integration: Power Generation, Biofuel Pr...

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2025 IEEE International Students' Conference on electrical, electronics and Computer Science, SCEECS 2025

作者： Manoj, R. Immanuvelbright, E. Muruganantham, K. Deepankumar, G. Erode Sengunthar Engineering College Department of Electrical and Electronics Engineering India

ISBN: (纸本)9798331529833

This innovative concept presents a sustainable energy production system that converges power generation and biofuel production. The process initiates with the conversion of biological waste into biogas, is then pressurized and directed to a turbine connected to both a gas collector tank and a generator. The rotating turbine blades generate electricity, linking seamlessly to a Power Plant Controller (PPC) and integrating with the power grid. Simultaneously, residual biogas is directed to serve dual purposes-fuelling industrial needs while being channelled into a Methane Pyrolysis Tank. The Methane Pyrolysis Tank facilitates the separation of methane into hydrogen and carbon. The resulting hydrogen is stored for future energy use, while the carbon is stored for potential applications. This multifaceted system maximizes efficiency by harnessing generated biogas for both power generation and biofuel utilization. © 2025 IEEE.

关键词： Hydrogen storage

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Interleaved Boost PFC with Half Bridge LLC Resonant Converter based EV Battery Charger

Interleaved Boost PFC with Half Bridge LLC Resonant Converte...

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2024 International Conference on Advancements in Power, Communication and Intelligent Systems, APCI 2024

作者： Jeevanand, P. Chacko, Akhil Rajesh, M. Government College of Engineering Kannur Department of Electrical and Electronics Engineering Kerala India Government Engineering College Wayanad Department of Electrical and Electronics Engineering Kerala India

ISBN: (纸本)9798350363289

Electric scooters are attaining demand over conventional ICE scooters due to increases in fuel costs, depletion of fossil fuels, and reduced maintenance in EVs. This paper presents a 1kW two-stage onboard charger consisting of an interleaved boost PFC converter in the primary stage and a half-bridge LLC resonant converter at the secondary stage. The PFC stage maintains a voltage of 310V which is regulated to charge a 60V 86Ah electric scooter battery by the LLC resonant converter. The converter PFC stage is operated in discontinuous conduction mode to achieve natural power factor correction reduce the burden of implementation of complex control circuits and increase the reliability of the converter. The half-bridge topology in the secondary stage reduces the number of switches required without affecting the efficiency of the converter. The secondary stage converter is further operated in zero voltage switching mode to reduce the switching losses. The simulation results show that the system can perform satisfactorily achieving power factor correction and managing the THD level at acceptable limits for EV battery chargers. © 2024 IEEE.

关键词： Zero voltage switching

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Enhancing retinal fundus image classification through Active Gradient Deep Convolutional Neural Network and Red Spider Optimization

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Neural Computing and Applications 2024年第26期36卷 16607-16619页

作者： Subramaniam, Krishnakumar Naganathan, Archana Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore India Department of Electrical and Electronics Engineering PSG College of Technology Coimbatore India

Retinal fundus image classification is pivotal for the early detection of various eye disorders. Leveraging advancements in deep learning, this research introduces a robust framework for retinal fundus image classification. In this research paper, we introduce a novel methodology that integrates the Active Gradient Deep Convolutional Neural Network (AG-DCNN) architecture with the Red Spider Optimization (RSO) algorithm. Extensive evaluations conducted on well-established retinal image datasets such as DRIVE, STARE, CHASE DB1, HRF, DRISHTI-GS, and RFMiD illustrate substantial enhancements in classification accuracy, sensitivity, and specificity when compared to conventional approaches. The AG-DCNN with RSO exhibits superior performance and remarkable generalization abilities across diverse datasets. This novel approach not only enhances the latest advances in retinal image classification but also holds promise for early disease diagnosis and improved patient care. Through extensive examinations, our proposed method consistently outperforms established techniques, establishing itself as the benchmark in retinal fundus image classification. The integration of AG-DCNN and RSO showcases its efficacy and potential impact in advancing the field of medical image analysis. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Image classification

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Impact of Electric Vehicle Integration on Power Grids: A Comprehensive Review

Impact of Electric Vehicle Integration on Power Grids: A Com...

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2025 IEEE International Students' Conference on electrical, electronics and Computer Science, SCEECS 2025

作者： Sarathkumar, D. Sajin, J.B. Manivel, Murugesan Jayakumar, T. Ragul, S. Ponnusamy, Sabarish Kongu Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638 060 India Sree Buddha College of Engineering Department of Mechanical Engineering Kerala 690 529 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamilnadu 638052 India Kongunadu College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu 621215 India Department of Electrical and Electronics Engineering Tamil Nadu Samayapuram621112 India

ISBN: (纸本)9798331529833

The rapid growth of electric vehicles (EVs) poses significant challenges and opportunities for modern power grids. This comprehensive review examines the impact of large-scale EV integration on power grid infrastructure, focusing on key areas such as load demand, grid stability, energy storage, and renewable energy integration. We analyze the effects of EV charging on peak loads, voltage regulation, and grid reliability, highlighting the need for advanced control strategies and smart grid technologies. Additionally, this paper explores bidirectional power flow, vehicle-to-grid (V2G) systems, and their potential to enhance grid resilience and support renewable energy adoption. Through a detailed examination of current research and emerging trends, we present potential solutions for mitigating integration challenges, including smart charging, demand response, and distributed energy resources. This review provides insights into how the synergy between EVs and power grids can lead to more sustainable and efficient energy systems. © 2025 IEEE.

关键词： Demand response

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High Gain Buck Boost Converter with Single Switch and Low Voltage Stress 6

High Gain Buck Boost Converter with Single Switch and Low Vo...

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6th IEEE International Conference on Recent Advances in Intelligent Computational Systems, RAICS 2024

作者： Ali, Faeza Paulose, Smitha Kuruvilla, Jisha George, Reenu Joy, Jeena Mar Athanasius College of Engineering Department of Electrical and Electronics Engineering Kerala India Mar Athanius College of Engineering Department of Electrical and Electronics Engineering Kerala India

ISBN: (纸本)9798350381689

High gain DC converters are now necessary for photovoltaic (PV) energy sources. Lower efficiency and increased voltage stress are the outcomes of a conventional boost converter operating at a high duty ratio. With a lower duty ratio and less voltage stress, the suggested converter is made for high gain. Changing the structure's back-end voltage multiplier cell-which is modeled after the conventional buck boost converter-reduces the voltage stress on the switches. It is therefore possible to use low voltage rated switches. High conversion efficiency, wide voltage conversion range, and continuous input current characterize the high gain buck boost DC-DC converter. This converter meets all the specifications needed for a DC-DC converter used in photovoltaic systems. A comprehensive analysis has been conducted on the converter's operating principles and steady state properties. Simulated results were obtained using MATLAB / SIMULINK R2017b. The simulation's findings demonstrate the DC-DC converters' high voltage gain, high efficiency, and versatility in a variety of conversion scenarios. The microcontroller TMS320F28027F manages the converter. The theoretical considerations and simulation results derived from the prototype converter are confirmed by the experimental outcomes. The results demonstrate the wide range of conversion applications that can benefit from the use of a DC converter with high voltage gain, high efficiency, and low component stress. © 2024 IEEE.

关键词： Buck converter

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Solar PV and Electric Vehicle Synergy: Demand Response program Evaluation For EV Charging Stations Towards an Optimal Plan for The Region Using Various Split Source Topology 4

Solar PV and Electric Vehicle Synergy: Demand Response Progr...

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4th International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2024

作者： Muthumari, P. Nayanatara, C. Aishwarya, S. Saravanan, D. Arulselvam, D. Vanitha, A. Bala Karpaga Vinayaga College of Engineering and Technology Department of Electrical & Electronics Engineering India Sri Sai Ram Engineering College Department of Electrical & Electronics Engineering India

ISBN: (纸本)9798331508845

The rising adoption of electric vehicles (EVs) necessitates the development of efficient and reliable charging infrastructure. As EV penetration grows, the associated energy demand poses significant challenges to the stability and efficiency of regional power grids. This study evaluates the implementation of various split source inverter (SSI)f or increasing power quality. The impedance source converters are used for gaining the voltage in single stage to boost the voltage in conversion stage by using various split source inverter. It shows the different types of inverter and various control techniques to help to improve the power conversion. Dc to AC conversion capabilities with single or multi stage with solar PV integration will lead to increase the storage capacity in EV. Moreover comparison of inverters with PV, successfully regulate the voltage and reduce the Total Harmonic Distortion (THD).Grid connected PV system with various topology of SSI needs for power transfer from low voltage to high voltage. The suggested methodology seeks to balance grid requirements, EV battery state of charge, and power balancing constraints with the goal of minimizing operating costs. To take advantage of possible incentives and optimize total system benefits, the optimization model takes into account dynamic pricing schemes and variable solar generation profiles. The incentive-based unit commitment technique can effectively improve the grid integration and economic feasibility of PV systems and EVs in demand response frameworks. © 2024 IEEE.

关键词： Renewable energy

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Stochastic Computing Convolutional Neural Network Architecture Reinvented for Highly Efficient Artificial Intelligence Workload on Field-programmable Gate Array

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Research 2024年第2期2024卷 55-79页

作者： Yang Yang Lee Zaini Abdul Halim Mohd Nadhir Ab Wahab Tarik Adnan Almohamad School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal 14300 Penang Malaysia School of Computer Sciences Universiti Sains MalaysiaGelugor11800 PenangMalaysia Electrical-Electronics Engineering Department Faculty of EngineeringKarabuk University78050 KarabukTurkiye

Stochastic computing(SC)has a substantial amount of study on application-specific integrated circuit(ASIC)design for artificial intelligence(AI)edge computing,especially the convolutional neural network(CNN)***,SC has little to no optimization on field-programmable gate array(FPGA).Scaling up the ASIC logic without FPGA-oriented designs is inefficient,while aggregating thousands of bitstreams is still challenging in the conventional *** research has reinvented several FPGA-efficient 8-bit SC CNN computing architectures,i.e.,SC multiplexer multiply-accumulate,multiply-accumulate function generator,and binary rectified linear unit,and successfully scaled and implemented a fully parallel CNN model on Kintex7 *** proposed SC hardware only compromises 0.14%accuracy compared to binary computing on the handwriting Modified National Institute of Standards and Technology classification task and achieved at least 99.72%energy saving per image feedforward and 31?more data throughput than modern *** to SC,early decision termination pushed the performance baseline exponentially with minimum accuracy loss,making SC CNN extremely lucrative for AI edge computing but limited to classification *** SC's inherent noise heavily penalizes CNN regression performance,rendering SC unsuitable for regression tasks.

关键词： hardware Highly rendering

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A 28.8-mW Accelerator IC for Dark Channel Prior-Based Blind Image Deblurring

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IEEE Journal of Solid-State Circuits 2024年第6期59卷 1899-1911页

作者： Chen, Po-Shao Chen, Yen-Lung Lee, Yu-Chi Fu, Zih-Sing Yang, Chia-Hsiang Graduate Institute of Electronics Engineering National Taiwan University Taipei10617 Taiwan University of Michigan Department of Electrical Engineering and Computer Science Ann ArborMI48109 United States Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science CambridgeMA02139 United States National Taiwan University Department of Electrical Engineering Graduate Institute of Electronics Engineering Taipei10617 Taiwan

This work presents an accelerator that performs blind deblurring based on the dark channel prior. The alternating minimization algorithm is leveraged for latent image and blur kernel estimation. A 2-D Laplace equation solver is embedded to reduce the latency by 56% for boundary wrapping. For latent image estimation, gradient data locality is employed to reduce the latency by 57%. A sorting engine is designed to reduce the latency in data access by 96% for calculating the dark channel. A pipelined mixed-radix 1-D fast Fourier transform (FFT) engine is used for efficient latent image estimation and blur kernel estimation. By employing image size approximation, 85% of additions and 97% of multiplications for FFT can further be saved. In the blur kernel estimator, a 2-D convolution engine with a parallel architecture is implemented, reducing the latency by 79%. The accelerator supports blur kernels of 25times 25 and 49times 49 pixels for blurred images of 129times 129 and 257times 257 pixels, respectively. Fabricated in 40-nm CMOS, the accelerator's core area is 3.98 mm2. The chip dissipates 28.8 mW at 65 MHz from a 0.65-V supply. It can estimate a blur kernel of 25times 25 pixels for an image patch with 129times 129 pixels for deblurring a full-HD image in 1.7 s, achieving a 2562times shorter latency than a high-end CPU. Compared with the state-of-the-art design, the chip achieves a four times higher normalized area efficiency and a 7.5times higher normalized energy efficiency. © 1966-2012 IEEE.

关键词： CMOS integrated circuits

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Optimal Gains for Control Voltage and Frequency in Standalone Wind Energy Conversion System

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Journal of The Institution of Engineers (India): Series B 2023年第6期104卷 1303-1319页

作者： Subhash, B. Rajagopal, V. Department of Electrical and Electronics Engineering Jawaharlal Nehru Technological University Hyderabad India Department of Electrical and Electronics Engineering Kakatiya Institute of Technology and Science Telangana Warangal India

This article discusses about regulation of frequency and voltage of standalone wind conversion system (SWECS) to provide power for linear and nonlinear loads. It consists of induction generator, battery storage system (BSS) connected at DC link of voltage source converter (VSC). When the generated power is more than the consumers load demand, the extra power is diverted to BSS. When consumer load demand exceeds the generated power, the excess power is supplied by a BSS, which regulates the frequency of SWECS. An adaptive theory-improved linear sinusoidal tracer algorithm comprises of two PI controllers to generate active, reactive components of reference source currents, which regulates the terminal voltage. The control algorithm is heart of the system, and PI gains decide how quickly it estimates source currents evaluated for the values of PI controller. The optimization techniques are used to obtain best-suited values and are applied to SWECS to improve the power quality without using phase-locked loop and transformations. The proposed system with control algorithm is executed in three-phase four-wire system by means of various loads for flawlessness in harmonics of source current, voltage at point of common coupling (PCC) as per IEEE-519-1992 standards. The neutral path current compensation is done by star-delta transformer connected between PCC and VSC. © 2023, The Institution of Engineers (India).

关键词： Asynchronous generators

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