摘要
电动汽车的快速发展会逐渐增大电网的运行压力,而预测电动汽车的充电负荷有利于电网的运行和合理调度。论文分析了电动汽车充电负荷的影响因素,得到不同充电方式中充电功率的变化,分析了三种类型电动汽车的充电频率、日行驶里程和起始充电时间,并建立了相应的概率密度函数模型。最后采用蒙特卡洛算法模拟计算出日充电负荷,为电动汽车有序充电研究提供了基础。
The rapid development of electric vehicles will gradually increase the operating pressure of the grid,and predicting the charging load of electric vehicles is conducive to the operation of the grid and reasonable scheduling.This paper analyzes the in⁃fluencing factors of the charging load of electric vehicles and obtains the changes of charging power in different charging methods.The charging frequency,daily driving distance and initial charging time of three types of electric vehicles are analyzed,and the cor⁃responding probability density function model is established.The Monte Carlo algorithm is used to simulate and calculate the daily charging load,which provides a foundation for the study of orderly charging of electric vehicles.
作者
孙洲
崔立超
王冰
李伟
许奇超
SUN Zhou CUI Lichao;WANG Bing;LI Wei;XU Qichao(State grid Shaoxing Power Supply Company,Shaoxing 312000;Nanjing Kuanta Information Technology Co.,Ltd.,Nanjing 211100)
出处
《计算机与数字工程》
2021年第7期1475-1480,共6页
Computer & Digital Engineering
基金
国网浙江省电力有限公司科技项目“考虑源荷不确定性的配电网空间负荷预测及分布规律研究”(编号:5211SX1800BO)资助。
关键词
电动汽车
充电负荷计算
充电负荷曲线
蒙特卡洛模拟
概率密度
electric vehicle
charging load calculation
harging load curve
Monte Carlo simulation
probability density
