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Optimal allocation of battery energy storage system using WOA-AIS considering net load issue

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dc.contributor.authorWong L.A.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorid57205119530en_US
dc.contributor.authorid6602912020en_US
dc.date.accessioned2023-05-29T09:05:43Z
dc.date.available2023-05-29T09:05:43Z
dc.date.issued2021
dc.descriptionBattery storage; Electric batteries; Immune system; Location; Particle swarm optimization (PSO); Artificial Immune System; Duck curve; Loss reduction; Optimal locations; Optimal size; Optimization algorithms; Overall system loss reduction; System loss; Whale optimization algorithm and artificial immune system; Curve fittingen_US
dc.description.abstractIn this paper, a novel metaheuristic optimization approach is introduced to attain the optimal locations and sizing of the battery energy storage system (BESS), with the intention to reduce the overall system losses in a distribution system. Apart from system losses reduction, the duck curve issue is considered in terms of optimization constraint. The hybrid of whale optimization algorithm and artificial immune system (WOA-AIS) which is effective in handling duck curve constraint is proposed to perform the optimization process. The performance of WOA-AIS is validated with hybridized Particle Swarm Optimization (PSO-AIS) and Firefly Algorithm (FA-AIS). The results displayed the ability of WOA-AIS in attaining the optimal BESS allocations by considering duck curve issue as constraint, where it can be observed that the optimal allocations suggested by WOA-AIS has achieved the highest losses reduction. Meanwhile, it can be concluded that the amount of total BESS energy may not proportionate to the losses reduction attained by each algorithm as the overall system losses had been affected by the location of BESS. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICECCME52200.2021.9590911
dc.identifier.scopus2-s2.0-85119426643
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119426643&doi=10.1109%2fICECCME52200.2021.9590911&partnerID=40&md5=ecab15acd61b1a613b23d58e34cc06f7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25950
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
dc.titleOptimal allocation of battery energy storage system using WOA-AIS considering net load issueen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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