摘要
随着更多的电动汽车入网充电以及售电政策的开放,运营商不仅需要控制充电负荷,还需获取良好的效益。提出了考虑用户因素的电动汽车有序充放电控制策略。用户主动响应参与V2G反向供电并申报供电价格,运营商综合考虑用户的综合指标及所属电动汽车状态,筛选参与反向供电的电动汽车,在满足电网功率限制条件下完成电动汽车的有序充放电计划。基于蒙特卡洛模拟和粒子群算法进行仿真计算,结果表明,在该策略控制下不仅能使充电负荷削峰填谷,还能使运营商获取额外效益,用户充电成本降低。
As more electric vehicles（EV） are charged in the power grid and power selling policy is open, the operators not only need control load well, but also get good benefit. A coordinated charging/discharging strategy considering customers’ factors is proposed. The customers actively respond to participate in V2 G reserve power supply and declare the price. The operator synthetically considers a customer’s comprehensive index and his EV’s state to screen the EVs participating reverse power supply, and then implements the coordinated EV charging/discharging plan on the condition of satisfying the power limitations of the grid. Monte Carlo simulation and Particle Swarm Optimization（PSO） algorithm are used for simulation and calculation. The results show that with the coordinated strategy, it can not only realize the peak load shifting, but also make the operator get more benefit and the customers’ charging cost lower.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2018年第4期129-137,共9页
Power System Protection and Control
基金
成都市科技项目(2015-HM01-00132-SF)"电动汽车接入配电网的关键技术研究"
关键词
电动汽车
V2G反向供电
有序充放电策略
用户综合指标
electric vehicles
V2G reverse power supply
coordinated charging/discharging strategy
customers’ comprehensive index
