Optimal Locating and Sizing of BESSs in Distribution Network Based on Multi-Objective Memetic Salp Swarm Algorithm

Battery energy storage systems (BESSs) are a key technology to accommodate the uncertainties of RESs and load demand. However, BESSs at an improper location size may result in no-reasonable investment costs even unsafe system operation. To realize economic reliable operation distribution network (DN), this paper establishes multi-objective optimization model for optimal locating sizing BESSs, which aims minimizing total cost power loss DN fluctuation grid connection point. Firstly, memetic salp swarm algorithm (MMSSA) was designed derive set uniformly distributed non-dominated Pareto solutions allocation scheme, accumulate them retention called repository. Next, best compromised solution objectively selected from repository via ideal-point decision method (IPDM), where trade-off among different objectives achieved. Finally, effectiveness proposed verified based on extended IEEE 33-bus test system. Simulation results demonstrate that not only effectively improves economy but also significantly reduces fluctuation.