Correlation Analysis and Forecast of Electric Vehicle Charging Stations Considering Seasonal Factors

With the widespread use of electric vehicles, charging stations have become the critical infrastructure to ensure the operation of EV. Reasonable optimization of EV charging stations during the planning stage could contribute to save customers’ time, reduce equipment loss and reduce grid load. The analysis results show that the customer arrival interval of the charging station approximately obeys the negative exponential distribution, and the charging service time approximately obeys the gamma distribution, and the variation curve of the distribution parameters with the ambient temperature is given. A queuing simulation model for charging stations was established. The Monte Carlo method was used to analyze the queuing length and time of charging stations in different seasons, which provided a reference for the construction and optimization of EV charging piles in the future.