Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm

Ling Ai Wong*, Vigna K. Ramachandaramurthy, Sara L. Walker, Phil Taylor, Mohammad Javad Sanjari

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

20 Citations (Scopus)


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.

Original languageEnglish
Article number100892
JournalJournal of Energy Storage
Publication statusPublished - Dec 2019

Bibliographical note

Funding Information:
This research was supported by the Long Term Research Grant (LRGS), Ministry of Education Malaysia for the program titled “Decarbonisation of Grid with an Optimal Controller and Energy Management for Energy Storage System in Microgrid Applications”.

Publisher Copyright:
© 2019 Elsevier Ltd

Copyright 2019 Elsevier B.V., All rights reserved.


  • BESS
  • Meta-heuristic optimization algorithm
  • Whale optimization algorithm

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