Research on multi-scenario cluster controllable charging load model of electrical vehicle

With the continuous increase in the proportion of electric vehicles, the large-scale integration of electric vehicles into the power grid for disorderly charging and discharging will bring peak-to-peak load pressure to the power grid. The most direct intervention method for electric vehicle load is energy optimization management. This article mainly analyzes the behavioral characteristics of electric vehicle users and combines the laws of electric vehicle state transition to obtain cluster controllable charging load models. Based on the distribution of various types of electric vehicles in different scenarios, the controllable charging load characteristics are obtained.