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Multi-objective approach for optimal DGPV location and sizing

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dc.contributor.authorMustaffa S.A.S.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorMohamad Zamani M.K.en_US
dc.contributor.authorid57189288788en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57193428895en_US
dc.date.accessioned2023-05-29T06:53:26Z
dc.date.available2023-05-29T06:53:26Z
dc.date.issued2018
dc.description.abstractThe advancement of renewable technology has attracted utility and company to integrate and produce energy for a cleaner environment. The attractive policy from the government also gave the opportunity to adopt the technology recently. The Distributed Generation Photo-voltaic (DGPV) integration into the grid is an advanced technology to produce electricity without polluting the environment. Besides providing the green technology, it can also enhance the voltage profile and minimise the transmission losses. However, this depends on the location and the sizing of the DGPV. In this paper, the location and sizing of DGPV are deduced using multi-objective Chaotic Mutation Immune Evolutionary Technique (MOCMIEP) technique. The proposed method determines the optimal location and sizing of DGPV and to improve the losses and FVSI simultaneously. FVSI is a pre-developed voltage stability index based on the line in the power system. The method was tested on the power transmission system of IEEE 30-Bus and IEEE 57 -Bus Reliability Test System (RTS). The results demonstrate the ability of the proposed method to generate the Pareto optimal solutions of the multi-objective problems and come out with the best compromise solution. � 2018 Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i3.15.17504
dc.identifier.epage72
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85082355276
dc.identifier.spage68
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85082355276&doi=10.14419%2fijet.v7i3.15.17504&partnerID=40&md5=985366eafd84d325c2ff98ee6f2903af
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23950
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titleMulti-objective approach for optimal DGPV location and sizingen_US
dc.typeArticleen_US
dspace.entity.typePublication
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