Optimization of wind energy conversion systems � an artificial intelligent approach
The environmentally friendly wind energy conversion system has become one of the most studied branches of sustainable energy. Like many other power generator, maximum power point tracking is an easy yet effective way to boost the efficiency of the conversion system. In this research, a modified Elec...
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my.uniten.dspace-254742023-05-29T16:09:52Z Optimization of wind energy conversion systems � an artificial intelligent approach Koay Y.Y. Tan J.D. Koh S.P. Chong K.H. Tiong S.K. Ekanayake J. 57189626122 38863172300 22951210700 36994481200 15128307800 7003409510 The environmentally friendly wind energy conversion system has become one of the most studied branches of sustainable energy. Like many other power generator, maximum power point tracking is an easy yet effective way to boost the efficiency of the conversion system. In this research, a modified Electromagnetism-like Mechanism Algorithm (EM) is proposed for the maximum power point tracking (MPPT) scheme of a micro-wind energy conversion system (WECS). In contrast with the random search steps used in a conventional EM, modified EM is enhanced with a Split, Probe, and Compare (SPC-EM) feature which ensures solutions with higher accuracies quicker by not having to scrutinize the search in details at the beginning stages of the iterations. Experiments and simulations are carried to test the SPC-EM in tracking the maximum power point under different wind profiles. Results indicate that the performance of the modified EM showed significant improvement over the conventional EM in the benchmarking. It can thus be concluded that based on the simulations, the SPC-EM performs well as an MPPT scheme in a micro-WECS. � 2020, Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T08:09:52Z 2023-05-29T08:09:52Z 2020 Article 10.11591/IJPEDS.V11.I2.PP1040-1046 2-s2.0-85083794650 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083794650&doi=10.11591%2fIJPEDS.V11.I2.PP1040-1046&partnerID=40&md5=a138d4287982dfacd75c2f59d728ea09 https://irepository.uniten.edu.my/handle/123456789/25474 11 2 1040 1046 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus |
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The environmentally friendly wind energy conversion system has become one of the most studied branches of sustainable energy. Like many other power generator, maximum power point tracking is an easy yet effective way to boost the efficiency of the conversion system. In this research, a modified Electromagnetism-like Mechanism Algorithm (EM) is proposed for the maximum power point tracking (MPPT) scheme of a micro-wind energy conversion system (WECS). In contrast with the random search steps used in a conventional EM, modified EM is enhanced with a Split, Probe, and Compare (SPC-EM) feature which ensures solutions with higher accuracies quicker by not having to scrutinize the search in details at the beginning stages of the iterations. Experiments and simulations are carried to test the SPC-EM in tracking the maximum power point under different wind profiles. Results indicate that the performance of the modified EM showed significant improvement over the conventional EM in the benchmarking. It can thus be concluded that based on the simulations, the SPC-EM performs well as an MPPT scheme in a micro-WECS. � 2020, Institute of Advanced Engineering and Science. All rights reserved. |
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57189626122 Koay Y.Y. Tan J.D. Koh S.P. Chong K.H. Tiong S.K. Ekanayake J. |
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Koay Y.Y. Tan J.D. Koh S.P. Chong K.H. Tiong S.K. Ekanayake J. Optimization of wind energy conversion systems � an artificial intelligent approach |
author_sort |
Koay Y.Y. |
title |
Optimization of wind energy conversion systems � an artificial intelligent approach |
title_short |
Optimization of wind energy conversion systems � an artificial intelligent approach |
title_full |
Optimization of wind energy conversion systems � an artificial intelligent approach |
title_fullStr |
Optimization of wind energy conversion systems � an artificial intelligent approach |
title_full_unstemmed |
Optimization of wind energy conversion systems � an artificial intelligent approach |
title_sort |
optimization of wind energy conversion systems � an artificial intelligent approach |
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Institute of Advanced Engineering and Science |
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2023 |
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