考虑V2G用户响应度的峰谷电价时段优化有序充电

Coordinated Charging of Peak-valley Time-period Optimization by Considering V2G User Reactivity

针对电动汽车有序充电实现削峰填谷效果的问题,提出了考虑V2G用户响应度的峰谷分时电价优化有序充电控制策略。通过蒙特卡洛模拟法得到规模化电动汽车的充电负荷,并在此基础上建立了不考虑V2G响应度和考虑V2G响应度的有序充电控制优化模型,其中前者以谷电价时段区间为变量,以配电网负荷曲线方差为目标函数,后者以谷电价时段区间及峰谷时段的电价为变量,以综合考虑电动汽车对配电网负荷曲线方差的影响及用户满意度为目标函数。算例分析表明两种有序充电策略都能有效改善系统运行安全性,但考虑V2G用户响应度的有序充电策略更能反映实际情况。

Because that coordinated charging of electric vehicles can realize load shifting,an optimized control strategy of coordinated charging for time-of-use（TOU）power price time-period by considering V2 G user reactivity is presented in this paper.Firstly,the charging load of electric vehicle is obtained by Monte Carlo simulation,based on which an optimization coordinated charging model is built without and with considering the user response degree.In the former model,the optimization variables are valley price periods,and the objective function is load curve variance of distribution network.In the latter model,the optimization variables are valley price periods range and peak-valley power price,and the objective functions are comprehensive consideration of the influence of electric vehicle on load curve variance of distribution network and user satisfaction.The results of case studies show that both strategies can improve the system operation security,while the strategy by considering V2 G reactivity can reflect the actual situation better.