Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile
In this study, we address the optimization of the direct power control of a doubly fed induction generator within a wind conversion system under actual wind conditions. The primary objective is to enhance the dynamic response of the wind energy conversion system (WECS) while minimizing the impact of...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1261902/full |
| _version_ | 1797660377255772160 |
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| author | Aziz Hadoune Abderrahman Mouradi Abdelaziz Mimet Hamid Chojaa Chaimae Dardabi Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammed Alqahtani Muhammad Khalid Muhammad Khalid Muhammad Khalid |
| author_facet | Aziz Hadoune Abderrahman Mouradi Abdelaziz Mimet Hamid Chojaa Chaimae Dardabi Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammed Alqahtani Muhammad Khalid Muhammad Khalid Muhammad Khalid |
| author_sort | Aziz Hadoune |
| collection | DOAJ |
| description | In this study, we address the optimization of the direct power control of a doubly fed induction generator within a wind conversion system under actual wind conditions. The primary objective is to enhance the dynamic response of the wind energy conversion system (WECS) while minimizing the impact of wind fluctuations on power generation. To achieve this goal, we introduce a novel control methodology based on the super-twisting algorithm (STA). This approach allows for effective regulation of both reactive and active power output in the WECS. We employ comprehensive simulations using a detailed model of the WECS and real wind profiles to evaluate the efficacy of the STA-based control strategy. Our simulations demonstrate that the adopted STA-based control strategy successfully tracks the desired power set-point and effectively mitigates the adverse effects of wind power fluctuations and uncertainties on the WECS power output. Specifically, it exhibits superior performance in managing transients and rejecting disturbances compared to a conventional approach employing a switching table and hysteresis controller. These results suggest the practical viability and potential applications of the STA-based control strategy in real-world wind energy systems. |
| first_indexed | 2024-03-11T18:29:57Z |
| format | Article |
| id | doaj.art-683af9d8c5384fa587ef99b6354c988d |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-11T18:29:57Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-683af9d8c5384fa587ef99b6354c988d2023-10-13T13:10:52ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-10-011110.3389/fenrg.2023.12619021261902Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profileAziz Hadoune0Abderrahman Mouradi1Abdelaziz Mimet2Hamid Chojaa3Chaimae Dardabi4Muhammad Majid Gulzar5Muhammad Majid Gulzar6Mohammed Alqahtani7Muhammad Khalid8Muhammad Khalid9Muhammad Khalid10Energy, Materials and Computing Physics Research Group, Higher Normal School (ENS), Abdelmalek Essaadi University, Tetouan, MoroccoEnergy, Materials and Computing Physics Research Group, Higher Normal School (ENS), Abdelmalek Essaadi University, Tetouan, MoroccoEnergy, Materials and Computing Physics Research Group, Higher Normal School (ENS), Abdelmalek Essaadi University, Tetouan, MoroccoIndustrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez, MoroccoEnergetic Laboratory, Department of Physics, Faculty of Science Tetouan, Abdelmalek Essaadi University, Tetouan, MoroccoDepartment of Control and Instrumentation Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaInterdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaDepartment of Industrial Engineering, King Khalid University, Abha, Saudi ArabiaInterdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaSDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaIn this study, we address the optimization of the direct power control of a doubly fed induction generator within a wind conversion system under actual wind conditions. The primary objective is to enhance the dynamic response of the wind energy conversion system (WECS) while minimizing the impact of wind fluctuations on power generation. To achieve this goal, we introduce a novel control methodology based on the super-twisting algorithm (STA). This approach allows for effective regulation of both reactive and active power output in the WECS. We employ comprehensive simulations using a detailed model of the WECS and real wind profiles to evaluate the efficacy of the STA-based control strategy. Our simulations demonstrate that the adopted STA-based control strategy successfully tracks the desired power set-point and effectively mitigates the adverse effects of wind power fluctuations and uncertainties on the WECS power output. Specifically, it exhibits superior performance in managing transients and rejecting disturbances compared to a conventional approach employing a switching table and hysteresis controller. These results suggest the practical viability and potential applications of the STA-based control strategy in real-world wind energy systems.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1261902/fullwind energy conversion systemSTA-DPCDPCdoubly fed induction generatorwind turbine |
| spellingShingle | Aziz Hadoune Abderrahman Mouradi Abdelaziz Mimet Hamid Chojaa Chaimae Dardabi Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammed Alqahtani Muhammad Khalid Muhammad Khalid Muhammad Khalid Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile Frontiers in Energy Research wind energy conversion system STA-DPC DPC doubly fed induction generator wind turbine |
| title | Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile |
| title_full | Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile |
| title_fullStr | Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile |
| title_full_unstemmed | Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile |
| title_short | Optimizing direct power control of DFIG-based WECS using super-twisting algorithm under real wind profile |
| title_sort | optimizing direct power control of dfig based wecs using super twisting algorithm under real wind profile |
| topic | wind energy conversion system STA-DPC DPC doubly fed induction generator wind turbine |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1261902/full |
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