计及V2G价格激励的电动汽车削峰协同调度策略

Coordinated scheduling strategy of electric vehicles for peak shaving considering V2G price incentive

为了改善城市电力负荷峰谷差增大给配电系统稳定经济运行带来的影响,提出了电动汽车(EV)削峰协同调度策略,通过价格信号引导EV这类新型灵活资源参与辅助服务,从而平滑系统负荷曲线并减少EV用户的用电成本。首先,结合系统的削峰需求,提出了车网互动(V2G)激励价格机制;然后,构建基于出行链的EV出行需求模型和基于出行需求的耗电量模型;在此基础上,考虑EV用户的实际出行需求约束,建立以系统负荷曲线均方差最小以及EV用户用电成本最少为目标的多目标协同调度模型;最后,基于算例进行仿真分析,结果表明所提EV削峰协同调度策略能够平滑系统负荷曲线并减少EV用户的用电成本,进而提升配电网运营的经济性。

In order to improve the influence of the increase of peak-valley difference of urban power load on the stable and economic operation of distribution system,a coordinated scheduling strategy of EVs(Electric Vehicles) for peak shaving is proposed.The new-type flexible resources such as EVs are guided to participate in auxiliary services through price signals,so as to smooth the system load curve and reduce the electricity cost of EV users.Firstly,the V2G(Vehicle to Grid) incentive price mechanism is proposed according to the peak shaving demand of the system.Then,the EV travel demand model based on travel chain and the power consumption model based on travel demand are constructed.On this basis,considering the actual travel demand constraints of EV users,a multi-objective coordinated scheduling model is established to minimize the mean square error of system load curve and minimize the electricity cost of EV users.Finally,the simulative results of example show that the proposed coordinated scheduling strategy of EVs for peak shaving can smooth the system load curve and reduce the electricity cost of EV users,thus improving the operation economy of distribution network.