{"title":"基于SOSMCC干扰观测器的太阳能光伏增强电动汽车电池充电方案,通过SABCAF控制实现电网无缝集成","authors":"Kalash Srivastava;Shailendra Kumar;Rakesh Maurya;Sanjeevikumar Padmanaban","doi":"10.1109/TCE.2024.3520241","DOIUrl":null,"url":null,"abstract":"The vision of achieving zero-carbon emissions in the automobile sector, powered by solar PV-based charging, fosters clean energy transportation and supports sustainable development. Therefore, this paper proposes a sustainable solution for integrating solar photovoltaic (SPV) systems into residential grids by incorporating an electric vehicle (EV) battery energy storage (BES) system and linear/nonlinear load. It utilizes a second-order sliding mode cascaded control (SOSMCC) to regulate the DC-link voltage and manage EV battery charge/discharge operations. This control system is enhanced with disturbance observers to handle the overshoot/undershoot in the DC-link voltage within a cycle under various dynamic situations, i.e., load perturbation, changing solar insolation, and transitions between grid and vehicle charging modes. After comparing the performance of multiple disturbance observers, the linear extended state disturbance observer (LESDO) demonstrates the lowest undershoot (less than 5%) and settling time among other observers. A robust Sparse-Aware Bias-Compensated Adaptive Filtering (SABCAF) algorithm is employed to calculate the fundamental component of load current, effectively reducing higher and suborder harmonic components from deformed load currents. The comparative analysis shows that SABCAF control improves system dynamics by minimizing mean square (MSE) error, enhancing convergence speed, and injecting lower harmonic currents into the grid, thus improving the power quality of the distribution network. The total harmonic distortion (THD) analysis complies with IEEE 519 standard which is less than 5%.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"516-526"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solar PV-Based Enhanced EV Battery Charging Solution With SOSMCC Disturbance Observer for Seamless Grid Integration via SABCAF Control\",\"authors\":\"Kalash Srivastava;Shailendra Kumar;Rakesh Maurya;Sanjeevikumar Padmanaban\",\"doi\":\"10.1109/TCE.2024.3520241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vision of achieving zero-carbon emissions in the automobile sector, powered by solar PV-based charging, fosters clean energy transportation and supports sustainable development. Therefore, this paper proposes a sustainable solution for integrating solar photovoltaic (SPV) systems into residential grids by incorporating an electric vehicle (EV) battery energy storage (BES) system and linear/nonlinear load. It utilizes a second-order sliding mode cascaded control (SOSMCC) to regulate the DC-link voltage and manage EV battery charge/discharge operations. This control system is enhanced with disturbance observers to handle the overshoot/undershoot in the DC-link voltage within a cycle under various dynamic situations, i.e., load perturbation, changing solar insolation, and transitions between grid and vehicle charging modes. After comparing the performance of multiple disturbance observers, the linear extended state disturbance observer (LESDO) demonstrates the lowest undershoot (less than 5%) and settling time among other observers. A robust Sparse-Aware Bias-Compensated Adaptive Filtering (SABCAF) algorithm is employed to calculate the fundamental component of load current, effectively reducing higher and suborder harmonic components from deformed load currents. The comparative analysis shows that SABCAF control improves system dynamics by minimizing mean square (MSE) error, enhancing convergence speed, and injecting lower harmonic currents into the grid, thus improving the power quality of the distribution network. The total harmonic distortion (THD) analysis complies with IEEE 519 standard which is less than 5%.\",\"PeriodicalId\":13208,\"journal\":{\"name\":\"IEEE Transactions on Consumer Electronics\",\"volume\":\"71 1\",\"pages\":\"516-526\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Consumer Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10812935/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Consumer Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10812935/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Solar PV-Based Enhanced EV Battery Charging Solution With SOSMCC Disturbance Observer for Seamless Grid Integration via SABCAF Control
The vision of achieving zero-carbon emissions in the automobile sector, powered by solar PV-based charging, fosters clean energy transportation and supports sustainable development. Therefore, this paper proposes a sustainable solution for integrating solar photovoltaic (SPV) systems into residential grids by incorporating an electric vehicle (EV) battery energy storage (BES) system and linear/nonlinear load. It utilizes a second-order sliding mode cascaded control (SOSMCC) to regulate the DC-link voltage and manage EV battery charge/discharge operations. This control system is enhanced with disturbance observers to handle the overshoot/undershoot in the DC-link voltage within a cycle under various dynamic situations, i.e., load perturbation, changing solar insolation, and transitions between grid and vehicle charging modes. After comparing the performance of multiple disturbance observers, the linear extended state disturbance observer (LESDO) demonstrates the lowest undershoot (less than 5%) and settling time among other observers. A robust Sparse-Aware Bias-Compensated Adaptive Filtering (SABCAF) algorithm is employed to calculate the fundamental component of load current, effectively reducing higher and suborder harmonic components from deformed load currents. The comparative analysis shows that SABCAF control improves system dynamics by minimizing mean square (MSE) error, enhancing convergence speed, and injecting lower harmonic currents into the grid, thus improving the power quality of the distribution network. The total harmonic distortion (THD) analysis complies with IEEE 519 standard which is less than 5%.
期刊介绍:
The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.