Prediction of EV Random Charging Load Based on Monte Carlo Simulation Method
蒙特卡罗方法
计算机科学
统计
数学
作者
Yuewei Qin,Jiahan Wang,S. Ren,Ze Li
标识
DOI:10.1109/icnepe60694.2023.10429667
摘要
The first charging time, charging power and daily travel distance directly affect the influence of the random charging load of electric vehicle charging pile on the distribution network. The Monte Carlo stochastic sampling method for numerical simulations is based on the above probabilistic analysis of the stochastic charging behavior of electric vehicle.