电力系统自动化2012，Vol.36Issue(10)：19-26,8.
大规模电动汽车充放电优化控制及容量效益分析
Coordinated Charging and Discharging of Large-scale Plug-in Electric Vehicles with Cost and Capacity Benefit Analysis
摘要
Abstract
A two-stage optimal model is proposed to obtain the peak load shaving and the discharging energy in the vehicle-to-grid scenario. The Latin hypercube sampling method is adopted to sample the starting charging time and arrival state of charge to reduce the computation burden. The charging load of plug-in electric vehicles in 2020 and 2030 in China is simulated and the load profiles are compared with and without optimal control. Cost-benefit analysis in different scenarios are performed. Sensitivity analysis is performed to investigate the influence of several key parameters＇ uncertainties on the cost and benefit of plug-in electric vehicle charging and discharging coordination. Simulation results show that the method proposed can effectively reduce the peak load and smooth the load curve. The installed cost and the battery life loss cost will significantly affect the capacity benefit of the charging and discharging control while the network power price will not.关键词
电动汽车/有序充电/车辆到电网（V2G）/拉丁超立方抽样/整数规划Key words
electric vehicle/coordinated charging/vehicle to grid (V2G)/Latin hypercube sampling/integer programming分类
信息技术与安全科学引用本文复制引用
罗卓伟,胡泽春,宋永华,徐智威,阳岳希,刘辉..大规模电动汽车充放电优化控制及容量效益分析[J].电力系统自动化,2012,36(10):19-26,8.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
国家自然科学基金资助项目（51107060）. （）
