辅助负荷削峰的电动出租车V2G协同策略与效益分析

V2G coordinated strategy and benefit analysis of electric taxis to assist peak load shifting

随着电动出租车规模化增长,其对电网的影响不断增大。为了充分利用电动出租车行驶轨迹与电网供电区域的耦合关系,加强电动出租车与电网间的协作,改善电力系统运行的安全性和经济性,提出了一种在用电高峰时段辅助负荷削峰的电动出租车车网互动(V2G)协同策略。首先,采用K-means算法将电动出租车的行驶区域与电网的供电区域进行耦合,找到供电区域内最适合调用的电动出租车;然后,基于需求响应电价,构建电动出租车在常规运营模式和V2G模式共同作用下的收益模型;最后,计算电动出租车车主的收益、响应参与度以及电动出租车对行驶区域内电网的削峰效果。基于Python的仿真结果表明,相较于原有运营方式,电动出租车车主在常规运营模式和V2G模式的共同作用下,能获得更好的收益和额外的休息时间,同时也能对其活跃区域内的电网负荷有较好的削峰效果。

With the large-scale growth of electric taxis,their influence on the power grid is increasing.In order to make full use of the coupling relationship between electric taxis’driving track and power supply area of power grid,strengthen the cooperation between electric taxis and power grid,and improve the safety and economy of power system operation,a V2G(Vehicle to Grid)coordinated strategy of electric taxis is proposed to assist peak load shifting during peak periods.Firstly,K-means algorithm is used to coupling the driving zone of electric taxis with the power supply area of power grid,so as to find the most suitable electric taxis for scheduling in the power supply area.Then,based on the demand response electricity price,the income model of electric taxis under the combined action of conventional operation mode and V2G mode is constructed.Finally,the income and response participation degree of electric taxi owners and the peak load shifting effect of electric taxis on the power grid in the driving zone are calculated.Simulative results based on Python show that compared with the original operation mode,under the combined action of the conventional operation mode and V2G mode,electric taxi owners can obtain better revenue and extra rest time,and also have better peak load shifting effect on power grid load in their active areas.