Research on configuration optimization of distributed energy storage system based on multi-objective genetic algorithm

In view of some problems existing in China’s power market, this paper uses the multi-objective genetic algorithm to analyze the problems in the power market. The equivalent mathematical model of energy distribution is established and optimized, and its performance is optimized. The results indicates that the scheme can significantly improve the new energy consumption rate of the distribution network and the security of the distribution network and achieve the design purpose.