Research on electric vehicle cluster model based on scenes simulation

In recent years, the development of electric vehicles (EVs) has received more attention. As a mobile energy storage unit, electric vehicle can realize energy exchange with the power grid. However, the character of random charging and discharging makes it difficult for the integration of EVs. Conventional charging, fast charging and battery replacement are the most commonly used charging modes for EVs. First, a charging model is proposed considering a variety of scenes of the random charging of EVs in this paper. The method of random sampling is used to establish a statistical model of timing distribution of EVs load. The proposed model can well reflect the charging cluster characteristics of a large scale of EVs connected to gird widely and randomly. Then, considering the discharging characteristics of EVs in the specified time period, a charging and discharging cluster model is established based on the method of Latin hypercube sampling. The agglomeration model can reflect the timing distribution characteristics of EVs in a 24-hour cycle. Finally, the model verifies the effect of peak load shifting of EVs.