**Panyawoot Boonluk 1,2, Apirat Siritaratiwat 1, Pradit Fuangfoo <sup>2</sup> and Sirote Khunkitti 3,\***


Received: 10 September 2020; Accepted: 12 November 2020; Published: 19 November 2020

**Abstract:** In this work, optimal siting and sizing of a battery energy storage system (BESS) in a distribution network with renewable energy sources (RESs) of distribution network operators (DNO) are presented to reduce the effect of RES fluctuations for power generation reliability and quality. The optimal siting and sizing of the BESS are found by minimizing the costs caused by the voltage deviations, power losses, and peak demands in the distribution network for improving the performance of the distribution network. The simulation results of the BESS installation were evaluated in the IEEE 33-bus distribution network. Genetic algorithm (GA) and particle swarm optimization (PSO) were adopted to solve this optimization problem, and the results obtained from these two algorithms were compared. After the BESS installation in the distribution network, the voltage deviations, power losses, and peak demands were reduced when compared to those of the case without BESS installation.

**Keywords:** battery energy storage; renewable energy; distribution network; genetic algorithm; particle swarm optimization
