Publication:
Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid

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dc.citedby20
dc.contributor.authorSukumar S.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorRamasamy A.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorid57192673539en_US
dc.contributor.authorid26423183000en_US
dc.contributor.authorid16023154400en_US
dc.contributor.authorid8136874200en_US
dc.date.accessioned2023-05-29T06:50:45Z
dc.date.available2023-05-29T06:50:45Z
dc.date.issued2018
dc.descriptionElectric batteries; Energy management; Energy management systems; Genetic algorithms; Integer programming; Operating costs; Particle swarm optimization (PSO); Artificial bee colonies (ABC); Battery energy storage systems; battery sizing; Gravitational search algorithm (GSA); Grey Wolf Optimizer; Meta-heuristic optimization techniques; Micro grid; Mixed integer linear programming (MILP); Battery storageen_US
dc.description.abstractBattery energy storage systems (BESSs) can support microgrid's economic operation. In this paper, the optimal capacity of BESS is determined for economic operation of microgrid. The BESS sizing problem is solved simultaneously with 'mix-mode energy management system' (MM-EMS). Here, the MM-EMS is solved using linear programming (LP), and mixed integer linear programming (MILP) optimization techniques. Metaheuristic optimization techniques such as grey Wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA) and genetic algorithm (GA) are used to solve the BESS sizing problem and a comparison of its performance is also carried out. It was found that GWO produces the most optimal solution than other optimization techniques. With this, the performance of the proposed BESS sizing method is validated with traditional tradeoff method. Moreover, a comparison in microgrid's operating cost with and without BESS is carried out. It was also found that, 70% savings in microgrid's operating cost can be achieved when microgrid is operated with BESS. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8494501
dc.identifier.doi10.1109/EEEIC.2018.8494501
dc.identifier.scopus2-s2.0-85056500103
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85056500103&doi=10.1109%2fEEEIC.2018.8494501&partnerID=40&md5=3762a9bbf776540bade962b3efa3e6cb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23650
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
dc.titleGrey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgriden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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