Author(s)

Tianyi Qu

Corresponding Author

Tianyi Qu

Abstract

On the basis of analyzing the factors affecting the charging load of electric vehicles, from the perspective of user and grid game, the minimum load fluctuation of distribution network and the minimum charging cost of users are taken as the goal. A multi-objective optimization charging strategy based on genetic algorithm is proposed. The example verifies the effectiveness and feasibility of the strategy. The example shows that the multi-objective optimization charging strategy can effectively guide the orderly charging of electric vehicles, effectively ensuring the safe operation of the grid and the economic benefits of users.

Keywords

Electric vehicle; Genetic algorithm; Multi-objective optimization; Objective function