电力系统自动化Issue(16)：67-73,7.DOI:10.7500/AEPS20131027001
电动汽车充电站的概率负荷建模
Probabilistic Load Modeling of Electric Vehicle Charging Stations
摘要
Abstract
The load of electric vehicle(EV) charging stations has some stochastic features that make the study on the general load model difficult.In connection with three EV charging stations including battery swap stations,residential quarters charging stations and public charging stations,a probabilistic load modeling method is proposed based on charging modes, locations and trip characteristics.The probabilistic load models of three kinds of EV charging stations are obtained using Monte Carlo simulation and probability statistics analysis,by analyzing some vital factors of charging station load modeling in general. Moreover,optimized configuration schemes of three typical charging stations with best valley effect are obtained by using particle swarm algorithm optimization,and the validity and practicability of the proposed probabilistic load model are verified. This work is supported by National High Technology Research and Development Program of China (863 Program) (No.201 1AA05A109) and National Natural Science Foundation of China(No.5 1277085).关键词
电动汽车/充电站/概率负荷/蒙特卡洛模拟/概率统计/粒子群优化Key words
electric vehicle/charging stations/probabilistic load/Monte Carlo simulation/probability statistics/particle swarm optimization引用本文复制引用
杨波,陈卫,明浩,陈学有..电动汽车充电站的概率负荷建模[J].电力系统自动化,2014,(16):67-73,7.基金项目
国家高技术研究发展计划(863计划)资助项目(2011AA05A109) （863计划）
国家自然科学基金资助项目(51277085)。 （51277085）
