计算技术与自动化2024，Vol.43Issue(2)：192-197,6.DOI:10.16339/j.cnki.jsjsyzdh.202402032
基于Monte Carlo随机模拟算法的电动汽车无序充电负荷计算模型
Calculation Model of Disorderly Charging Load of Electric Vehicle Based on Monte Carlo Stochastic Simulation Algorithm
摘要
Abstract
In order to effectively reduce the impact of disorderly charging load of electric vehicle on power system stabili-ty,this paper studies the calculation model based on Monte Carlo random simulation algorithm,comprehensively considering the probability density of various parameters of user charging behavior,so as to make the model more accurate.The im-proved algorithm based on Levy's charging strategy and the user's comprehensive charging strategy can be used to optimize the charging effect of the power grid.On this basis,a two-level optimization model is proposed to further optimize the mod-el,comprehensively considering the situation of user satisfaction and power fluctuation.The results show that the improved model can save 15.9%of charging cost and reduce the peak valley difference of power system load by about 10.1%.关键词
蒙特卡洛/电动汽车/无序充电/电力波动Key words
Monte Carlo/electric vehicle/disorderly charging/power fluctuation分类
交通工程引用本文复制引用
马国真,王云佳,王竹梅,杜文通..基于Monte Carlo随机模拟算法的电动汽车无序充电负荷计算模型[J].计算技术与自动化,2024,43(2):192-197,6.基金项目
国网河北省电力有限公司科技项目(kjcb-hz-003) （kjcb-hz-003）
