关键词: 电动汽车, 非支配排序遗传算法, 不确定性, 优化调度

Abstract: Considering the uncertainty of electric vehicle charging behavior and its impact on the distribution network, the charging behavior of electric vehicles was analyzed from the perspectives of users and practical problems, and a multistage and multi-objective optimization model was established for the distribution network. Improvements were made to the non-dominated sorting genetic algorithm. The simulation of three hypothetical scheduling scenarios were conducted, and the results showed that the optimized scheduling scheme can reduce the peak valley difference in the distribution network, improve energy utilization, and thus enhance the economic efficiency of the power grid.

Key words: electric vehicles, non-dominated sorting genetic algorithm, uncertainty, optimal scheduling