Black widow optimization-based optimal PI-controlled wind turbine emulator
In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simul...
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my.uniten.dspace-250852023-05-29T16:06:43Z Black widow optimization-based optimal PI-controlled wind turbine emulator Premkumar K. Vishnupriya M. Babu T.S. Manikandan B.V. Thamizhselvan T. Ali A.N. Islam M.R. Kouzani A.Z. Parvez Mahmud M.A. 57201026778 57211598694 56267551500 57209726777 55348384500 56196401100 55765000567 7003695829 57205396841 In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system. � 2020 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T08:06:43Z 2023-05-29T08:06:43Z 2020 Article 10.3390/su122410357 2-s2.0-85098487461 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098487461&doi=10.3390%2fsu122410357&partnerID=40&md5=d44b8e1522ef7d78a6e46d79a5ae4cb0 https://irepository.uniten.edu.my/handle/123456789/25085 12 24 10357 1 19 All Open Access, Gold, Green MDPI AG Scopus |
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In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system. � 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
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57201026778 |
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57201026778 Premkumar K. Vishnupriya M. Babu T.S. Manikandan B.V. Thamizhselvan T. Ali A.N. Islam M.R. Kouzani A.Z. Parvez Mahmud M.A. |
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Premkumar K. Vishnupriya M. Babu T.S. Manikandan B.V. Thamizhselvan T. Ali A.N. Islam M.R. Kouzani A.Z. Parvez Mahmud M.A. |
spellingShingle |
Premkumar K. Vishnupriya M. Babu T.S. Manikandan B.V. Thamizhselvan T. Ali A.N. Islam M.R. Kouzani A.Z. Parvez Mahmud M.A. Black widow optimization-based optimal PI-controlled wind turbine emulator |
author_sort |
Premkumar K. |
title |
Black widow optimization-based optimal PI-controlled wind turbine emulator |
title_short |
Black widow optimization-based optimal PI-controlled wind turbine emulator |
title_full |
Black widow optimization-based optimal PI-controlled wind turbine emulator |
title_fullStr |
Black widow optimization-based optimal PI-controlled wind turbine emulator |
title_full_unstemmed |
Black widow optimization-based optimal PI-controlled wind turbine emulator |
title_sort |
black widow optimization-based optimal pi-controlled wind turbine emulator |
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MDPI AG |
publishDate |
2023 |
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1806424075964252160 |
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13.18916 |