Publication: Optimal allocation of battery energy storage system using whale optimization algorithm
dc.citedby | 1 | |
dc.contributor.author | Wong L.A. | en_US |
dc.contributor.author | Ramachandaramurthy V.K. | en_US |
dc.contributor.authorid | 57205119530 | en_US |
dc.contributor.authorid | 6602912020 | en_US |
dc.date.accessioned | 2023-05-29T09:05:43Z | |
dc.date.available | 2023-05-29T09:05:43Z | |
dc.date.issued | 2021 | |
dc.description | Battery storage; Electric batteries; Battery energy storage systems; Firefly algorithms; Loss reduction; Meta-heuristic methods; Optimal allocation; Optimization algorithms; Overall system loss reduction; Performance; System loss; Whale optimization algorithm; Particle swarm optimization (PSO) | en_US |
dc.description.abstract | In this paper, a metaheuristic method is suggested to attain the optimal locations and sizing of the battery energy storage system (BESS), with the intention to decrease the overall system losses in a distribution system. To increase the reliability of the outcome, simultaneous optimization approach is employed, where the optimization problem is solved using Whale Optimization Algorithm (WOA). The hourly variation of photovoltaic (PV) generation and load profile for up to one week is considered in this work. The performance of WOA is validated with Particle Swarm Optimization (PSO) and Firefly Algorithm (FA). The optimization outcomes proved the ability of WOA in attaining the optimal BESS allocations for overall system losses reduction where the optimal solutions suggested by WOA has achieved the highest overall system losses reduction, followed by PSO while FA has the worst performance in this application. � 2021 IEEE. | en_US |
dc.description.nature | Final | en_US |
dc.identifier.doi | 10.1109/ICECCME52200.2021.9591039 | |
dc.identifier.scopus | 2-s2.0-85119443208 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119443208&doi=10.1109%2fICECCME52200.2021.9591039&partnerID=40&md5=ab26e9c0e118556afdc9f0f04bbb936e | |
dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/25949 | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | Scopus | |
dc.sourcetitle | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 | |
dc.title | Optimal allocation of battery energy storage system using whale optimization algorithm | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication |