Publication:
An electromagnetism-like mechanism algorithm approach for photovoltaic system optimization

Simple item page
dc.citedby10
dc.contributor.authorTan J.D.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorAli K.en_US
dc.contributor.authorKoay Y.Y.en_US
dc.contributor.authorid38863172300en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid36130958600en_US
dc.contributor.authorid57189626122en_US
dc.date.accessioned2023-05-29T06:50:57Z
dc.date.available2023-05-29T06:50:57Z
dc.date.issued2018
dc.description.abstractSolar energy has become one of the most studied topic in the field of renewable energy. In this paper, an artificial intelligent approach is proposed for the optimization of a photovoltaic solar energy harvesting system. An Electromagnetism-Like Mechanism Algorithm (EM) has been developed to search for the hourly optimum tilt angles for photovoltaic panels. In order to investigate the effect of the search step size on the efficiency and overall accuracy of the algorithm, the EM has also been modified into several variants with different search step size settings. Experimental findings show that EM with bigger search lengths has the advantage of reaching a near optimum tilt angle in earlier iterations but less accurate. EM with smaller step lengths, on the other hand, can hit a relatively more optimum tilt angle in the process. During the peak of the power generation at noon, EM with smaller search stes found an optimum tilt angle which yielded additional 3.17W of power compared to a fixed panel. We thus conclude that the proposed EM performs well in optimizing the tilt angle of a photovoltaic solar energy harvesting system. � 2018 Institute of Advanced Engineering and Science All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v12.i1.pp333-340
dc.identifier.epage340
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85051274250
dc.identifier.spage333
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051274250&doi=10.11591%2fijeecs.v12.i1.pp333-340&partnerID=40&md5=1b85a3aaac88627f33ef5300a6224760
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23676
dc.identifier.volume12
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleAn electromagnetism-like mechanism algorithm approach for photovoltaic system optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS