Monte-Carlo-algorithm-based Load Prediction of Electric Vehicles Large-scale Charging
The effective prediction of EV charging load is of great significance to safe and stable operation of distribution network.Based on the prediction results of various types of EVs in a certain region and by using Monte Carlo algorithm,this work established a charging load prediction model considering EV types in which user travel behaviors,EV charging power and charging time and other factors were selected as model parameters.A simulative prediction of EV charging load demand in that region was carried out,indicating a rapid growth of charging load in 2025 by nearly 70%from 2022 and obvious characteristic differences among various types of charging loads.The proposed method may help in improving ac-curacy of load prediction and providing technical support for distribution network scheduling and planning.
electric vehicledistribution networkMonte Carlo simulationload prediction