A Sizing Configuration and Integration Location Selection for Mobile Energy Storage Based on NSGA-II

With the rapid development of power distribution network, large-scale distributed generation and random loads are integrated into distribution network, and the low-voltage network is facing increasingly complex problems such as highpower loss, high or low voltage fluctuation, and power failure risks. To address these issues, mobile energy storage vehicles are adopted gradually. How to determine the capacity configuration and integration location of mobile energy storage vehicles seriously affects cost-effectiveness, power quality, and line loss. In response to this issue, a multi-objective optimization model is constructed with the objectives of minimizing network loss rate, minimizing the operating cost of single batch mobile energy storage vehicles, and maximizing the benefits of distributed power consumption, in the scenario of dynamic capacity expansion and distributed power consumption in low-voltage distribution networks. Based on the NSGA-II algorithm, the mobile energy storage capacity and grid connection position were optimized and solved, achieving multi-objective optimization for the participation of mobile energy storage vehicles in low-voltage substation governance while ensuring power supply quality. The proposed method was simulated and validated in a real distribution network in a certain substation area, and the results of test cases show that the proposed method has good effectiveness.