摘要
根据蒙特卡洛算法预测出2030年电动汽车并网充电的典型日负荷曲线,基于Matlab仿真平台的PSAT工具箱建立ZIP负荷模型,研究2030年汽车保有量为300万辆背景下,电动汽车渗透率分别为20%、40%和60%情况下,电动汽车无序并网充电引起电网最大负荷参数变化,通过分析电动汽车并网充电时最大负荷参数的变化来分析电网电压稳定性裕度.研究表明大规模电动汽车无序充电对电网电压稳定的影响较大,尤其是在电网比较薄弱且负荷过重的情况下,极易引起电网电压失稳的现象.提出在大规模电动汽车V2G技术下并网充电,充电调峰作用,可以提高电网运行的稳定性.
mBased on Monte Carlo algorithm, this paper aims to predict the typical daily load curve of electric vehicle charging grid in 2030. A model for ZIP load is built on MATLAB simulation platform based on the PSAT toolbox to study the ownership of electric vehicles in 2030 when 3 million vehicles are expected to be in use. The study shows that disordered grid charging of electric vehicles is able to cause changes in the maximum load parameters of power grid, when the permeability of electric vehicles are 20% , 40% and 60% , respectively. The voltage stability margin of grid is analyzed by examining the changes in maximum load parameters during grid charging of electric vehicles. The study shows that large一scale disordered charging of electric vehicles has considerable effects on the stability of grid and voltage, even easily causing instability of power grid voltage in the case of weak power grid and overload. This paper proposes to use large一scale electric vehicle charging grid V2G technology for grid charging and to change the charging peak time so as to improve the stability of power grid operation.
出处
《南京工程学院学报(自然科学版)》
2017年第2期56-62,共7页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
江苏省配电网智能技术与装备协同创新中心开放基金项目(XTCX201613)
关键词
蒙特卡洛
电动汽车
电压稳定
渗透率
ZIP综合负荷
V2G
Monte Carlo
electric vehicle
voltage stability
permeability
ZIP synthetic load model load
vehicle-to-grid