Optimal Sizing and Location of Battery Energy Storage Systems in Distribution Systems connected with Distributed Generation using Salp Swarm Algorithm

This study presents an optimal sizing and location of battery energy storage systems (BESSs) in distribution systems connected with distributed generation (DG) to improve distribution system performance. The objective function aims to minimize system costs including installation cost and operation and maintenance costs of the BESSs. Moreover, by minimizing operation and maintenance costs, the system performance can be improved in terms of transmission line loss, voltage deviation and peak demand reductions. The optimization problems have been solved by salp swarm algorithm (SSA). The IEEE 33-bus distribution system integrated with photovoltaic (PV) and wind turbine (WT) is employed to evaluate the performance of the proposed approach. The results show that after the installation of BESSs by SSA, the voltage profile can be improved, transmission loss is reduced, and peak demand is decreased. Moreover, installation of 2 BESSs can more improve performance compared to 1 BESS installation. However, the system costs of the 2-BESS case are also higher than those of 1-BESS case.