Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm
Electric 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 storage
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Elsevier Ltd
2023
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my.uniten.dspace-242752023-05-29T15:22:33Z Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm Wong L.A. Ramachandaramurthy V.K. Walker S.L. Taylor P. Sanjari M.J. 57205119530 6602912020 37105142200 56019895300 55695285000 Electric 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 storage This 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 Ltd Final 2023-05-29T07:22:33Z 2023-05-29T07:22:33Z 2019 Article 10.1016/j.est.2019.100892 2-s2.0-85072253700 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072253700&doi=10.1016%2fj.est.2019.100892&partnerID=40&md5=206078a0a31c3b5588c0d1f237fa9cb4 https://irepository.uniten.edu.my/handle/123456789/24275 26 100892 Elsevier Ltd Scopus |
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| description |
Electric 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 storage |
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57205119530 |
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57205119530 Wong L.A. Ramachandaramurthy V.K. Walker S.L. Taylor P. Sanjari M.J. |
| format |
Article |
| author |
Wong L.A. Ramachandaramurthy V.K. Walker S.L. Taylor P. Sanjari M.J. |
| spellingShingle |
Wong L.A. Ramachandaramurthy V.K. Walker S.L. Taylor P. Sanjari M.J. Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| author_sort |
Wong L.A. |
| title |
Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| title_short |
Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| title_full |
Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| title_fullStr |
Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| title_full_unstemmed |
Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| title_sort |
optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806427654484656128 |
| score |
13.222552 |