响应电网频率的电车充电站分层实时调度

Layered real-time scheduling strategy considering frequency responsefor electric vehicle stations

针对充电站内大量电动汽车负荷的实时调度问题,提出了一种分层式的实时调度策略,分别以充电站效益、指导功率追踪以及综合考虑效益和追踪三种方案作为上层优化目标,采用粒子群算法进行寻优得到充电站负荷的优化值.基于上层优化的结果,提出基于用户充电需求紧迫程度并计及电网实时频率的充电功率分配方法为电动汽车制定充电方案.最后通过算例验证了该分层实时调度策略的有效性,能够在满足电动汽车充电需求的基础上,满足充电站与电网的经济运行.

In this paper,a hierarchical strategy is proposed for real-time scheduling of a large number of electric vehicle loads in charging stations.Taking the three schemes,based on benefit of charging station,tracking reference power,and integration of benefit and tracking respectively,as the upper optimization objective,the optimal load value of charging station is obtained by using particle swarm optimization algorithm.According to the results of upper optimization,a charging power allocation method based on urgency of users′charging demand considering frequency response is proposed to formulate a charging scheme for electric vehicles.Finally,the effectiveness of the layered real-time scheduling strategy is verified by an example,which can meet both the charging demand of electric vehicles and the economic operation of charging stations and power grids.