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Optimization of wind energy conversion systems � an artificial intelligent approach

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dc.citedby9
dc.contributor.authorKoay Y.Y.en_US
dc.contributor.authorTan J.D.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorEkanayake J.en_US
dc.contributor.authorid57189626122en_US
dc.contributor.authorid38863172300en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid36994481200en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid7003409510en_US
dc.date.accessioned2023-05-29T08:09:52Z
dc.date.available2023-05-29T08:09:52Z
dc.date.issued2020
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/IJPEDS.V11.I2.PP1040-1046
dc.identifier.epage1046
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85083794650
dc.identifier.spage1040
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083794650&doi=10.11591%2fIJPEDS.V11.I2.PP1040-1046&partnerID=40&md5=a138d4287982dfacd75c2f59d728ea09
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25474
dc.identifier.volume11
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleInternational Journal of Power Electronics and Drive Systems
dc.titleOptimization of wind energy conversion systems � an artificial intelligent approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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