Ghazi A. Ghazi , Essam A. Al-Ammar , Hany M. Hasanien , Mansoor Khan , Wonsuk Ko , Hyeong-Jin Choi , Sisam Park
{"title":"利用最优超扭滑模控制提高并网光伏系统的低压穿越能力","authors":"Ghazi A. Ghazi , Essam A. Al-Ammar , Hany M. Hasanien , Mansoor Khan , Wonsuk Ko , Hyeong-Jin Choi , Sisam Park","doi":"10.1016/j.ijepes.2025.111124","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the critical issue of enhancing the low-voltage ride-through (LVRT) capability of grid-tied photovoltaic power (GTPVP) systems, particularly in compliance with modern grid codes (GCs) during grid faults. It proposes a novel control strategy using super-twisting sliding mode control (STSMC) for a 100-MW PV system, with the gains of the STSMC optimized through a Newton-Raphson-based optimizer (NRBO). The NRBO is also employed as a maximum power point tracker to regulate PV voltage based on a STSMC. Additionally, the STSMCs are integrated into the voltage source inverter for optimal control of various parameters, including the DC-link voltage, active, and reactive currents. Furthermore, the effectiveness of the NRBO-STSMC is validated through comparative analysis against other methods, such as particle swarm optimization (PSO)-tuned STSMC, NRBO-based conventional SMC, and NRBO-tuned proportional-integral (PI) controllers. A MATLAB/Simulink model was utilized for optimization and simulation, demonstrating that the NRBO-STSMC achieved superior performance, with the lowest integral of time-weighted absolute error values and higher efficiency, for both DC-DC and DC-AC converters. It minimizes voltage overshoot at the point of common coupling and ensures stable power injection during severe grid faults. In contrast, the NRBO-SMC method shows significant overshoots, while the NRBO-PI method faces oscillations and poor power balance. The study concludes that the proposed NRBO-STSMC successfully complies with the IEEE 1547 LVRT grid code during the grid fault. It provides a robust, highly efficient, and stable control solution for the LVRT issue of GTPVP systems, proving essential for meeting the demands of modern GCs.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111124"},"PeriodicalIF":5.0000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low voltage ride-through capability enhancement using optimal super twisting sliding mode control for grid-tied pv systems\",\"authors\":\"Ghazi A. Ghazi , Essam A. Al-Ammar , Hany M. Hasanien , Mansoor Khan , Wonsuk Ko , Hyeong-Jin Choi , Sisam Park\",\"doi\":\"10.1016/j.ijepes.2025.111124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper addresses the critical issue of enhancing the low-voltage ride-through (LVRT) capability of grid-tied photovoltaic power (GTPVP) systems, particularly in compliance with modern grid codes (GCs) during grid faults. It proposes a novel control strategy using super-twisting sliding mode control (STSMC) for a 100-MW PV system, with the gains of the STSMC optimized through a Newton-Raphson-based optimizer (NRBO). The NRBO is also employed as a maximum power point tracker to regulate PV voltage based on a STSMC. Additionally, the STSMCs are integrated into the voltage source inverter for optimal control of various parameters, including the DC-link voltage, active, and reactive currents. Furthermore, the effectiveness of the NRBO-STSMC is validated through comparative analysis against other methods, such as particle swarm optimization (PSO)-tuned STSMC, NRBO-based conventional SMC, and NRBO-tuned proportional-integral (PI) controllers. A MATLAB/Simulink model was utilized for optimization and simulation, demonstrating that the NRBO-STSMC achieved superior performance, with the lowest integral of time-weighted absolute error values and higher efficiency, for both DC-DC and DC-AC converters. It minimizes voltage overshoot at the point of common coupling and ensures stable power injection during severe grid faults. In contrast, the NRBO-SMC method shows significant overshoots, while the NRBO-PI method faces oscillations and poor power balance. The study concludes that the proposed NRBO-STSMC successfully complies with the IEEE 1547 LVRT grid code during the grid fault. It provides a robust, highly efficient, and stable control solution for the LVRT issue of GTPVP systems, proving essential for meeting the demands of modern GCs.</div></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":\"172 \",\"pages\":\"Article 111124\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142061525006726\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525006726","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Low voltage ride-through capability enhancement using optimal super twisting sliding mode control for grid-tied pv systems
This paper addresses the critical issue of enhancing the low-voltage ride-through (LVRT) capability of grid-tied photovoltaic power (GTPVP) systems, particularly in compliance with modern grid codes (GCs) during grid faults. It proposes a novel control strategy using super-twisting sliding mode control (STSMC) for a 100-MW PV system, with the gains of the STSMC optimized through a Newton-Raphson-based optimizer (NRBO). The NRBO is also employed as a maximum power point tracker to regulate PV voltage based on a STSMC. Additionally, the STSMCs are integrated into the voltage source inverter for optimal control of various parameters, including the DC-link voltage, active, and reactive currents. Furthermore, the effectiveness of the NRBO-STSMC is validated through comparative analysis against other methods, such as particle swarm optimization (PSO)-tuned STSMC, NRBO-based conventional SMC, and NRBO-tuned proportional-integral (PI) controllers. A MATLAB/Simulink model was utilized for optimization and simulation, demonstrating that the NRBO-STSMC achieved superior performance, with the lowest integral of time-weighted absolute error values and higher efficiency, for both DC-DC and DC-AC converters. It minimizes voltage overshoot at the point of common coupling and ensures stable power injection during severe grid faults. In contrast, the NRBO-SMC method shows significant overshoots, while the NRBO-PI method faces oscillations and poor power balance. The study concludes that the proposed NRBO-STSMC successfully complies with the IEEE 1547 LVRT grid code during the grid fault. It provides a robust, highly efficient, and stable control solution for the LVRT issue of GTPVP systems, proving essential for meeting the demands of modern GCs.
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