Optimal Placement and Sizing of Energy Storage Systems in Networked Microgrids

Abstract

—In modern power network, energy storage systems (ESSs) play a crucial role by maintaining stability, supporting fast and effective control, and storing excess power from in termittent renewable energy sources (RESs). It is essential to determine the best-suited locations and sizes of ESSs in order to implement them economically and effectively in power systems. Networked microgrids are emerging as one of the solutions for enhancing power system reliability and resiliency in modern power networks. This paper focuses on finding the best location and size for ESS within a networked microgrids. The objective function is to minimize the power loss, improve the voltage profile and reduce peak load by utilizing ESSs in the network. Here, the Genetic Algorithm has been used to identify the optimal placement and sizing of a battery in a networked microgrids. The proposed approach has been demonstrated on a benchmark test system of networked microgrids. The obtained results of battery location and sizing demonstrate the effectiveness and suitability in reducing active power loss, maintaining the voltage profile, and ensuring power balance in the system