Home > Published Issues > 2020 > Volume 9, No. 4, July 2020 >

Optimal Battery Energy Storage System Placement using Whale Optimization Algorithm

Ling Ai Wong 1,2 and Vigna K. Ramachandaramurthy 1
1. Institute of Power Engineering, Department of Electrical Power Engineering, College of Engineering, Universiti Tenaga Nasional, Selangor, Malaysia
2. School of Engineering & Technology, University College of Technology Sarawak, Sarawak, Malaysia

Abstract—This paper proposes a technique to attain the optimal location of battery energy storage system (BESS) where the optimal solution is decided by using whale optimization algorithm (WOA). The objective function is formulated in order to minimize the total system losses in the distribution grid. Two cases are investigated in this paper where the first case focuses on the losses reduction in the conventional power grid while the second case involves a power grid with photovoltaic distributed generation (PVDG). The proposed technique has been applied on a generic distribution network and the results show that WOA can provide the optimal solution for BESS location in the distribution network, thus reducing the total system losses.
Index Terms—Metaheuristic optimization method, optimal BESS placement, whale optimization algorithm

Cite: Ling Ai Wong and Vigna K. Ramachandaramurthy, "Optimal Battery Energy Storage System Placement using Whale Optimization Algorithm," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 9, No. 4, pp. 268-272, July 2020. Doi: 10.18178/ijeetc.9.4.268-272

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.