The load of electric vehicle (EV) charging stations has some stochastic features that make the study on the general load model difficult. In connection with three EV charging stations including battery swap stations

residential quarters charging stations and public charging stations

a probabilistic load modeling method is proposed based on charging modes

locations and trip characteristics. The probabilistic load models of three kinds of EV charging stations are obtained using Monte Carlo simulation and probability statistics analysis

by analyzing some vital factors of charging station load modeling in general. Moreover

optimized configuration schemes of three typical charging stations with best valley effect are obtained by using particle swarm algorithm optimization

and the validity and practicability of the proposed probabilistic load model are verified.