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Optimal placement and sizing of battery energy storage system considering the duck curve phenomenon

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dc.citedby17
dc.contributor.authorWong L.A.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorWalker S.L.en_US
dc.contributor.authorEkanayake J.B.en_US
dc.contributor.authorid57205119530en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid37105142200en_US
dc.contributor.authorid7003409510en_US
dc.date.accessioned2023-05-29T08:11:52Z
dc.date.available2023-05-29T08:11:52Z
dc.date.issued2020
dc.descriptionLocation; Particle swarm optimization (PSO); Secondary batteries; Battery energy storage systems; Distribution systems; Energy storage systems; Exploration and exploitation; Location and sizings; Meta heuristic algorithm; Optimal placement and sizings; Particle swarm optimisation; Energy storageen_US
dc.description.abstractThis paper suggests a method to place and size the battery energy storage system (BESS) optimally to minimise total system losses in a distribution system. Subsequently, the duck curve phenomenon is taken into consideration while determining the location and sizing. The locations and sizing of BESS were optimised using a metaheuristic algorithm with high exploration and exploitation ability which is known as the Whale Optimisation Algorithm (WOA). Meanwhile, the performance ofWOA was validated using other algorithms, i.e., Particle Swarm Optimisation and Firefly Algorithm. The results demonstrated the capability of WOA to determine the optimal BESS location and sizing for all cases, with and without considering the duck curve issue for loss reduction. Besides that, the duck curve issue can be mitigated by appropriately optimising the energy storage system (ESS) to reduce the steep ramp of the duck neck and ducktail and to lift the duck belly. In conclusion, although less loss reduction was achieved as a tradeoff to fulfil the constraint on net load ramp limit, the required BESS sizing was much smaller than the case without those constraints and charging operation, which makes this solution economically viable. � 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2020.3034349
dc.identifier.epage197248
dc.identifier.scopus2-s2.0-85102796125
dc.identifier.spage197236
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85102796125&doi=10.1109%2fACCESS.2020.3034349&partnerID=40&md5=018f7adf8be10f317249985e8c0ba629
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25625
dc.identifier.volume8
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleOptimal placement and sizing of battery energy storage system considering the duck curve phenomenonen_US
dc.typeArticleen_US
dspace.entity.typePublication
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