多条公交线路的光储充电站日内滚动优化策略

Day-rolling Optimization Strategy for Photovoltaic-Energy Storage Charging Station with Multiple Electric Bus Lines

针对电动公交充电站存在单一线路服务充电效率低的问题,提出由多条电动公交线路组成的光储充电站日内滚动优化策略。首先考虑了环境温度与空调功率对电动汽车电量的影响,建立了电动公交微观能耗模型。其次以最小化充电站运行成本为目标,建立了考虑多种场景下光伏出力的日内运行模型。然后通过对排队理论模型的改进,建立了站内多条线路电动公交充电行为动态模型,模拟实际公交站多线路运营真实充电调度场景。最后设计了仿真算例进行实验验证。结果表明,所提策略可以有效降低充电站光储设备投入成本,为充电站的规划运行提供了新思路。

Aiming at low charging efficiency of electric bus charging station with single line service,a day-rolling optimization strategy is proposed for photovoltaic-energy storage charging station with multiple bus lines.Firstly,a microscopic power consumption model of electric buses is established based on the analysis of ambient temperature and air-conditioning power.And then,with the aim of minimizing the operating cost of charging station,a daily operation model considering the photovoltaic output in various scenarios is established.After that,with the improvement based on the model of queuing theory,the dynamic model is established which describes charging behaviors of electrical buses in the station serving several bus lines.The real-life charging scene of several bus lines operation is simulated.Ultimately,the strategy proposed in this paper is simulated in various cases and the result indicates that the strategy can effectively decrease the cost of photovoltaic-energy storage equipment,provide a new methods for planning and operation of charging station.