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Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm

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dc.citedby82
dc.contributor.authorWong L.A.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorWalker S.L.en_US
dc.contributor.authorTaylor P.en_US
dc.contributor.authorSanjari M.J.en_US
dc.contributor.authorid57205119530en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid37105142200en_US
dc.contributor.authorid56019895300en_US
dc.contributor.authorid55695285000en_US
dc.date.accessioned2023-05-29T07:22:33Z
dc.date.available2023-05-29T07:22:33Z
dc.date.issued2019
dc.descriptionElectric batteries; Heuristic algorithms; Location; Particle swarm optimization (PSO); Battery energy storage systems; BESS; Firefly algorithms; Location and sizings; Meta-heuristic optimizations; Optimal placement and sizings; Optimization algorithms; Power losses reduction; Battery storageen_US
dc.description.abstractThis paper proposes an approach for optimal placement and sizing of battery energy storage system (BESS) to reduce the power losses in the distribution grid. A meta-heuristic optimization algorithm known as Whale Optimization Algorithm (WOA) is introduced to perform the optimization. In this paper, two different approaches are presented to achieve the optimal allocation of the BESS. The first approach is to obtain the optimal location and sizing in two steps while the second approach optimizes both location and sizing simultaneously. The performance of the proposed technique has been validated by comparing with two other algorithms namely firefly algorithm and particle swarm optimization. The results show that WOA has outstanding performance in attaining the optimal location and sizing of BESS in the distribution network for power losses reduction. � 2019 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo100892
dc.identifier.doi10.1016/j.est.2019.100892
dc.identifier.scopus2-s2.0-85072253700
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85072253700&doi=10.1016%2fj.est.2019.100892&partnerID=40&md5=206078a0a31c3b5588c0d1f237fa9cb4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24275
dc.identifier.volume26
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Energy Storage
dc.titleOptimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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