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Efficient power conversion with four switch soft-switching boost integrated half-bridge dual-output series resonant converter

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Journal of engineering and Applied Science 2024年第1期71卷 173页

作者： Kumar, Parveen Patthi, Sridhar Prakhya, Rajesh Kumar Rao, J. V. G. Rama Rayudu, K. Department of Electrical Engineering Model Institute of Engineering and Technology Jammu181122 India Department of Electrical Engineering Institute of Aeronautical Engineering Hyderabad500043 India Department of Electrical Engineering CVR College of Engineering Ibrahimpatnam501510 India Department of Electrical Engineering BVC Institute of Technology and Science Amalapuram533221 India Department of Electrical and Electronics Engineering B.V. Raju Institute of Technology Medak534202 India

Soft switching reduces voltage and current stress during transitions, smoothing and quieting operations and reducing electromagnetic interference while also increasing efficiency and equipment lifespan. Circuit design, component selection, and switching frequency optimization affect power electronics soft switching. This paper proposes boost integrated half-bridge dual-output series resonant (BIHBDOSR) converter, a novel converter design and control method to increase series resonant converter performance by reducing storage element size, switch count, and switching losses. This methodology relies on soft-switching technologies like zero-voltage switching (ZVS) and zero-current switching (ZCS). These methods use class-D, class-E, series, parallel, and series–parallel resonant converter circuits to increase efficiency and minimize component stress. The proposed converter is ideal for constant voltage, constant power, and current-controlled loads with the output voltage being regulated by a closed-loop PI controller. The output voltages for two loads in the simulation depart from reference values. V01 changes from 14 to 20 V and V02 from 18 to 15 V at 300 ms owing to switching variances. The proposed converter utilizes gate driver circuits, resonant tank circuit, current sensor, FPGA board for closed-loop control, and current sensor for stability, ensuring converter stability. The proposed converter closed-loop control method modifies PWM signals to regulate both loads independently and ensure steady output voltage. Additionally, to validate the effectiveness of proposed converter, a 50-W driver circuit is designed, delivering two independent outputs of 20 W and 30 W. Frequency modulation (FM) and duty cycle control methods are employed to obtain the desired outputs. © The Author(s) 2024.

关键词： Pulse width modulation

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Improved Energy Management Strategy for Prosumer Buildings with Renewable Energy Sources and Battery Energy Storage Systems

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 381-392页

作者： Pavitra Sharma Krishna Kumar Saini Hitesh Datt Mathur Puneet Mishra Department of Electrical&Electronics Engineering Birla Institute of Technology&SciencePilaniIndia IEEE

The concept of utilizing microgrids(MGs)to convert buildings into prosumers is gaining massive popularity because of its economic and environmental *** pro-sumer buildings consist of renewable energy sources and usually install battery energy storage systems(BESSs)to deal with the uncertain nature of renewable energy ***,because of the high capital investment of BESS and the limitation of available energy,there is a need for an effective energy management strategy for prosumer buildings that maximizes the profit of building owner and increases the operating life span of *** this regard,this paper proposes an improved energy management strategy(IEMS)for the prosumer building to minimize the operating cost of MG and degradation factor of ***,to estimate the practical operating life span of BESS,this paper utilizes a non-linear battery degradation *** addition,a flexible load shifting(FLS)scheme is also developed and integrated into the proposed strategy to further improve its *** proposed strategy is tested for the real-time annual data of a grid-tied solar photovoltaic(PV)and BESS-powered AC-DC hybrid MG installed at a commercial ***,the scenario reduction technique is used to handle the uncertainty associated with generation and load *** validate the performance of the proposed strategy,the results of IEMS are compared with the well-established energy management *** simulation results verify that the proposed strategy substantially increases the profit of the building owner and operating life span of ***,FLS enhances the performance of IEMS by further improving the financial profit of MG owner and the life span of BESS,thus making the operation of prosumer building more economical and efficient.

关键词： Prosumer building battery energy storage system(BESS) battery degradation factor demand response energy management microgrid solar photovoltaic(PV)system

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Influence of Different Layers on Enhancing the PV Performance of Al/ZnO/ZnMnO/CIGSSe/Cu2O/Ni Solar Cells

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Applied Solar Energy (English translation of Geliotekhnika) 2024年第2期60卷 201-214页

作者： Sawrab Sikder Hosen, Rakib Uddin, Md. Shihab Haque, Md. Manjurul Mamur, Hayati Bhuiyan, Mohammad Ruhul Amin Department of Electrical and Electronic Engineering Islamic University Kushtia Bangladesh Department of Electrical and Electronics Engineering Manisa Celal Bayar University Manisa Turkey

Abstract: Copper Indium Gallium Sulfide Selenide (CIGSSe)-based solar cells, featuring Al/ZnO/ZnMnO/CIGSSe/Cu2O/Ni layers, are optimized using the solar cell capacitance simulator (SCAPS) for enhanced photovoltaic (PV) performance. The solar cell design incorporates a CIGSSe absorber layer, a zinc manganese oxide (ZnMnO) buffer layer, and a zinc oxide (ZnO) window layer. The upper/top and back contacts are made of aluminum (Al) and nickel (Ni), respectively, with an electron-reflected-hole transport layer (ER-HTL) of cuprous oxide (Cu2O). The performance of the proposed structure can be improved by adjusting the thicknesses of the absorber, buffer, and window layers, along with the acceptor and donor concentrations of the absorber and buffer layers, series and shunt resistance, and temperature. The configuration improves the cell structure’s open-circuit voltage (VOC), short-circuit current (JSC), fill factor (FF), and power conversion efficiency (PCE). For optimal outcomes, set the acceptor and donor concentrations in the absorber and buffer layers to 1017 and 1018 cm–3, respectively. Furthermore, keep the thicknesses of the absorber layer at 2000 nm, the window and buffer layers at 50 nm, and the ER-HTL at 10 nm. The optimized model demonstrates PV performance characteristics of 1.0642 V for VOC, 36.10 mA/cm2 for JSC, 81.06% for FF, and 31.15% for PCE under the AM1.5G spectrum. Furthermore, it exhibits a quantum efficiency of around 95.23% at visible wavelengths. © Allerton Press, Inc. 2024. ISSN 0003-701X, Applied Solar Energy, 2024, Vol. 60, No. 2, pp. 201–214. Allerton Press, Inc., 2024.

关键词： Open circuit voltage

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Finite control set model predictive control of three-port converter for interfacing a PV-battery energy storage system to a three-phase stand-alone AC system

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Clean Energy 2024年第2期8卷 73-84页

作者： Gangashetty A.Preeti Anbalagan Karthikeyan Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaSurathkal575025India

This paper proposes a multiport bidirectional non-isolated converter topology that provides advantages in terms of simultaneous multiple operations,single-stage conversion,high power density and reduced power losses due to the lower number of *** proposed multiport converter uses a centralized non-linear controller known as a finite control set model predictive controller to manage the flow of power between different *** deals with the parallel operation of photovoltaic and battery energy storage systems for stand-alone alternating current(AC)*** converter connects the lower voltage battery to the photovoltaic port using a bidirectional buck/boost converter and the photovoltaic port is linked to the stand-alone AC load through a three-phase full-bridge *** leg of the three-phase converter will act as a bidirectional direct current(DC)/DC converter as well as an inverter *** six switches manage the power transfer between all the connected ports of photovoltaic-battery energy storage system linked to the stand-alone AC *** proposed multiport converter is mathematically modelled and controlled by a finite control set model predictive *** system is validated in simulation(1-kW rating)and experimental environment(200-W rating).The hardware prototype is developed in the laboratory and the controller is implemented on the field-programmable gate array *** independent case studies are carried out to validate the efficacy of the *** first scenario is for a change in solar irradiance,while the second scenario is for a change in the output load.

关键词： multiport converter DC/AC converter DC/DC converter finite control set model predictive controller(FCSMPC) PV-BESS three-phase converter

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An FPGA-based balancing of capacitor voltage for multi-level inverter

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Australian Journal of electrical and electronics engineering 2025年第1期22卷 92-104页

作者： Sahoo, Rajanikanta Roy, Molay Department of Electrical and Electronics Engineering National Institute of Technology Sikkim Sikkim India

This paper introduces a novel cascaded multilevel inverter circuit configuration aimed at generating a five-level load voltage using a single DC source and a capacitor. In this inverter configuration, an additional switch is added to the charging circuit which helps to charge the capacitor from the DC source. Additionally, an inductor is incorporated to mitigate the substantial charging current during capacitor charging operation. A level-shifted pulse width modulation (LS-PWM) technique is implemented to generate gate pulses for both inverter and charging switches. The capacitor gets charged when an extra switch is enabled and discharged when it is connected to a load. Analysis of charging and discharging of capacitor is described thoroughly in this paper. Each operational mode of the inverter is thoroughly analysed. Furthermore, the proposed five-level inverter setup is designed, and its control logic is implemented using FPGA platform. Subsequently, simulation and experimental investigations are conducted under varied loads and different modulation indices to evaluate the efficacy of the proposed inverter configuration and the respective results are presented. ©, Engineers Australia.

关键词： Pulse width modulation

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Real-Time Multi-Learning Deep Neural Network on an MPSoC-FPGA for Intelligent Vehicles: Harnessing Hardware Acceleration With Pipeline

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第6期9卷 1-12页

作者： Tatar, Guner Bayar, Salih Cicek, lhsan Electrical-Electronics Engineering Faculty of Engineering Fatih Sultan Mehmet Vaklf University Beyoğlu/ İstanbul Turkiye Electrical and Electronics Engineering Faculty of Engineering Marmara University Maltepe/İstanbul Turkiye Department of Electronics Engineering Gebze Technical University Gebze/Kocaeli Turkiye

This study introduces a new method to enhance ADAS's safety and error prevention capabilities in intelligent vehicles. We address the significant computational and memory demands required for real-time video processing by leveraging BDD100 K, KITTI, CityScape, and Waymo datasets. Our proposed hardware-software co-design integrates an MPSoC-FPGA accelerator for real-time multi-learning models. Our experimental results exhibit that, despite an increase in ADAS tasks and model parameters compared to the state-of-the-art studies, our model achieves 24,715 GOP performance with 4% lower power consumption (6.920 W) and 18.86% less logic resource consumption. The model processes highway scenes at 22.45 FPS and attains 50.06% mAP for object detection, 57.05% mIoU for segmentation, 43.76% mIoU for lane detection, 81.63% IoU for drivable area segmentation, and 9.78% SILog error for depth estimation. These findings confirm the system's effectiveness, reliability, and adaptability for ADAS applications and represent a significant advancement in intelligent vehicle technology, with the potential for further improvements in accuracy and memory efficiency. IEEE

关键词： Real time systems

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Advancing Sustainable Marine Transportation: Operational Feasibility of Offshore Floating Charging Stations

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International Journal of Sustainable Energy Planning and Management 2025年 43卷 31-51页

作者： Sruthy, V. Preetha, P.K. Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham Amritapuri690525 India

The feasibility analysis of offshore floating charging stations (FCS) incorporating renewable energy sources (RES) in India and around the world presents a promising and pioneering solution to meet the emerging demands of maritime transport systems for sustainable development. The global shift towards sustainable transportation supports the increasing adoption of electric vessels (E-vessel), which forces the inclusion of innovative solutions for their reliable operation. This study includes a feasibility analysis of FCS combined with an energy management system for reliable operation. A real-time analysis was conducted at an offshore location in the Arabian Sea, near Gujrat, India, to assess the operational and implementation possibilities of FCSs in India, especially in the Exclusive Economic Zone (EEZ). An appropriate energy management system in the FCS tackles E-vessel demand changes, real-time variations in RES, and energy flow balance with reduced reliance on backup energy systems. The findings demonstrated a reduction of 88% in the backup energy requirement for the FCS, and the energy management system ensured that the FCS had an immense improvement in excess RES support to meet additional E-vessel demands. This paper also included a comparative analysis between an offshore location in India and one in Europe. This study highlights the potential of FCS to improve the adoption of E-vessels in India’s and global marine transportation. © 2025, Aalborg University Press. All rights reserved.

关键词： Floating power plants

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Energy Management System for Distributed Energy Resources using Blockchain Technology

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Recent Patents on engineering 2025年第1期19卷 93-102页

作者： Kavin, R. Jayakumar, J. Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences Coimbatore India

Power generation in today’s world is of utmost importance, due to which blockchain is used for the categorization and formation of decentralized structures. This patent paper has proposed decentralized energy generation using a nester, i.e., energy sharing without third-party intervention. Decentralized blockchain technology is applied to ensure power sharing between buyer and seller, and also to achieve efficient power transmission between prosumer and consumer. Energy management is associated with controlling and reducing energy consumption. Blockchain technology plays a major role in distributed power generation, for example, power-sharing (solar and wind energy), price fixation, energy transaction monitoring, and peer-to-peer power-sharing. These are operations performed by blockchain in renewable power generation. Solar power generation using blockchain technology can obtain an impact resting upon the power generation system. Distributed ledger is the key area of blockchain technology for recording and tracking each transaction in the distribution system to improve the efficiency of the overall transmission system. A smart contract is another important tool in the blockchain technology, which is issued to confirm an assent between buyer and seller before starting any energy transaction without external intervention and also to avoid time delay. Maximum power point tracking is conducted in PV cells using blockchain technology. Blockchain influences energy management systems to improve the utilization of energy, optimize energy usage, and also to reduce the cost. © 2025 Bentham Science Publishers.

关键词： Distributed energy

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Intelligent control for solar-electric vehicles: integrating gannet optimization algorithm and quantum neural network for power tracking and high gain conversion

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 8617-8637页

作者： Arunagirinathan, Sumithara Subramanian, Chitra Department of Electrical and Electronics Engineering Government College of Technology Coimbatore India

This paper presents a hybrid approach for optimizing the maximum power point tracking of photovoltaic (PV) systems in electric vehicles. The hybrid technique involves the simultaneous utilization of the Gannet Optimization Algorithm (GOA) and Quantum Neural Network (QNN), collectively referred to as the GOA-QNN technique. The primary aim is to enhance the efficiency and maximize the power output of PV systems. The proposed hybrid methodology boosts the performance of the photovoltaic system by managing the power interface. A high step-up DC/DC converter is employed to adjust the photovoltaic source power and load, ensuring optimal power transfer under various operating conditions. The proposed method optimally determines the duty cycle of the converter. Subsequently, the model is implemented in the MATLAB/Simulink platform, and its execution is evaluated using established procedures. The results clearly demonstrate the superiority of the proposed method over existing approaches in terms of power quality, settling time, and controller stability. The proposed technique achieves an impressive efficiency level of 95%, exceeding the efficiency of other existing techniques. © 2024 - IOS Press. All rights reserved.

关键词： Maximum power point trackers

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Classifying electrical Faults in a Distribution System Using K-Nearest Neighbor (KNN) Model in Presence of Multiple Distributed Generators

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Journal of The Institution of Engineers (India): Series B 2024年第3期105卷 621-634页

作者： Awasthi, Saurabh Singh, Gagan Ahamad, Nafees Department of Electrical and Electronics and Communication Engineering DIT University Dehradun India

The vulnerability of distribution systems to frequent fault occurrences creates considerable issues, particularly when distributed generators (DG) are used. The standard relaying method struggles to adequately manage these complications, which are exacerbated by the radial system’s change owing to the existence of various sources. These deficiencies erode the existing protection framework, making the system vulnerable to a variety of faults that, if left untreated, might cause serious damage and significant disruptions. Prompt fault clearing and system restoration are critical for maintaining distribution network reliability and price stability. Delays in detecting and localizing faults have a direct impact on a country’s overall development. As a result, classifying the fault and predicting its exact location as soon as possible is crucial. Researchers have investigated many fault categorization and localization methods, which are broadly classed as traditional and artificial intelligence (AI) methodologies. Existing approaches, on the other hand, frequently ignore variations in source impedance during faults, resulting in less accurate fault type identification. Although fault localization accuracy has been sufficient in most circumstances, there is still room for significant improvement in fault type classification. As a result, this study suggests using a K-nearest neighbor (KNN) approach to improve fault categorization in distribution networks with several DGs. The suggested method is based on extensive fault data gathered from various locations and derived through short-circuit and steady-state analysis. To evaluate the efficiency of the proposed strategy, modeling and simulations were carried out using MATLAB Simulink. Finally, we give a thorough comparison of the outcomes of our suggested strategy and previously used data classifying approaches. The findings demonstrate the superiority and efficacy of the KNN-based method, emphasizing its potential to greatl

关键词： Distributed power generation

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