With the continuous depletion of global energy, traditional vehicles represented by fuel are unsuitable for the concept of low-carbon and environmental protection, and new types of electric vehicles represented by clean energy are gradually emerging. However, the disorderly connection of a large number of electric vehicles into the distribution network may cause a considerable impact on the power grid. This paper takes the charging and discharging state of electric vehicles and the overall state of the distribution network as the optimization objectives, and considers the satisfaction of users under time-of-use electricity prices and its own economy. The expected demand and output of electric vehicles for nodes with different daily loads were designed through the particle swarm optimization algorithm, and they were integrated with the daily load curve. The results show that a reasonable and orderly charging and discharging strategy for electric vehicles has a good effect on the “peak shaving and valley filling” of distribution network loads.