Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control
This paper presents a novel approach to enhancing the performance of a solar photovoltaic (PV) system by integrating a Differential Evolution (DE) optimization algorithm into the design of a Quasi Sliding Mode Controller (QSMC). The proposed method aims to address the challenges associated with Conv...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00064.pdf |
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| _version_ | 1832098648212635648 |
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| author | Rizki Habiba Boufounas El-Mahjoub El Amrani Aumeur El Amraoui Mohamed Bejjit Lahcen |
| author_facet | Rizki Habiba Boufounas El-Mahjoub El Amrani Aumeur El Amraoui Mohamed Bejjit Lahcen |
| author_sort | Rizki Habiba |
| collection | DOAJ |
| description | This paper presents a novel approach to enhancing the performance of a solar photovoltaic (PV) system by integrating a Differential Evolution (DE) optimization algorithm into the design of a Quasi Sliding Mode Controller (QSMC). The proposed method aims to address the challenges associated with Conventional Sliding Mode Control (CSMC), such as chattering and suboptimal tracking accuracy, which can significantly impact the stability and efficiency of PV systems. Simulation results show that the DE-optimized QSMC reduces tracking error to 0.05 V, while conventional SMC results in a tracking error of 0.15 V. Chattering amplitude is also significantly reduced, from 0.12 A to 0.03 A and the response time is improved from 0.8 seconds to 0.5 seconds. By leveraging the robustness of QSMC and the flexibility of DE, the DE-QSMC is fine-tuned to minimize tracking errors, reduce chattering, and maintain optimal performance under varying environmental conditions. The stability of the proposed technique is rigorously analyzed using the Lyapunov function theorem, ensuring robust system behavior. The effectiveness of the DE-optimized QSMC is validated through simulations conducted on the Matlab platform, demonstrating superior performance compared to conventional control techniques. |
| format | Article |
| id | doaj-art-daf3a19e13fc4220a814f031ed9412ad |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-daf3a19e13fc4220a814f031ed9412ad2025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010006410.1051/e3sconf/202560100064e3sconf_icegc2024_00064Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode ControlRizki Habiba0Boufounas El-Mahjoub1El Amrani Aumeur2El Amraoui Mohamed3Bejjit Lahcen4MIN Research Group, LASMAR Laboratory, Higher School of Technology Meknes, Moulay Ismail University of MeknesREIPT Laboratory, Faculty of Sciences and Technology, B.P. 509, Boutalamine, Errachidia, Moulay Ismail University of MeknesMIN Research Group, LASMAR Laboratory, Higher School of Technology Meknes, Moulay Ismail University of MeknesLASMAR Laboratory, Faculty of Sciences Meknes, Moulay Ismail University of MeknesMIN Research Group, LASMAR Laboratory, Higher School of Technology Meknes, Moulay Ismail University of MeknesThis paper presents a novel approach to enhancing the performance of a solar photovoltaic (PV) system by integrating a Differential Evolution (DE) optimization algorithm into the design of a Quasi Sliding Mode Controller (QSMC). The proposed method aims to address the challenges associated with Conventional Sliding Mode Control (CSMC), such as chattering and suboptimal tracking accuracy, which can significantly impact the stability and efficiency of PV systems. Simulation results show that the DE-optimized QSMC reduces tracking error to 0.05 V, while conventional SMC results in a tracking error of 0.15 V. Chattering amplitude is also significantly reduced, from 0.12 A to 0.03 A and the response time is improved from 0.8 seconds to 0.5 seconds. By leveraging the robustness of QSMC and the flexibility of DE, the DE-QSMC is fine-tuned to minimize tracking errors, reduce chattering, and maintain optimal performance under varying environmental conditions. The stability of the proposed technique is rigorously analyzed using the Lyapunov function theorem, ensuring robust system behavior. The effectiveness of the DE-optimized QSMC is validated through simulations conducted on the Matlab platform, demonstrating superior performance compared to conventional control techniques.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00064.pdf |
| spellingShingle | Rizki Habiba Boufounas El-Mahjoub El Amrani Aumeur El Amraoui Mohamed Bejjit Lahcen Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control E3S Web of Conferences |
| title | Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control |
| title_full | Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control |
| title_fullStr | Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control |
| title_full_unstemmed | Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control |
| title_short | Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control |
| title_sort | performance enhancement of a solar photovoltaic system with differential evolution optimized quasi sliding mode control |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00064.pdf |
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