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

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Wong, Ling Ai
Ramachandaramurthy, Vigna K
Walker, Sara L
Taylor, Phil
Sanjari, Mohammad Javad
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2019
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Abstract

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.

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Journal of Energy Storage

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26

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Environmental engineering

Science & Technology

Technology

Energy & Fuels

Meta-heuristic optimization algorithm

Whale optimization algorithm

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Wong, LA; Ramachandaramurthy, VK; Walker, SL; Taylor, P; Sanjari, MJ, Optimal placement and sizing of battery energy storage system for losses reduction using whale optimization algorithm, Journal of Energy Storage, 2019, 26

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