城市快速路口充电站建模研究

Research on the Modeling of the EV Charging Stations of the Urban Express Ways

提出了一种基于泊松分布到达模型(poisson arrival location model,PALM)和M/M/s排队理论的电动汽车充电负荷预测方法。首先对传统交通流动态模型进行修正后得到基于PALM的路网模型,详细分析了驶入或驶出城市快速路的车辆,并将驶出车辆分成永久性驶出与暂时性驶出两类,然后基于交通基本定律建立了快充站排队车辆到达模型,得到快充站的车辆到达率,从而基于M/M/s排队理论预测电动汽车的充电负荷时空分布。仿真算例表明,文章提出的方法可以预测快充站的电动汽车充电负荷,为快充站的选址定容提供重要的依据。

A new method of predicting the electric vehicle （EV） charging load is proposed based on Poisson Arrival Location Model （PALM） and the M/M/s queueing theory. Firstly, the traffic network model based on PALM is modified from the traditional fluid traffic model, vehicles entering or exiting the road are analyzed and vehicles exiting the road are subdivided into temporarily exiting and permanently exiting. Then the arrival rate of discharged vehicles is identified from the arrival model based on the basic low of traffic flow. Finally, the spatial and temporal EVs charging demand is identified based on the M/M/s queueing theory. A numerical example shows that the proposed method is able to predict spatial and temporal distribution of EVs charging demand at rapid charging station, providing reference for location planning of the rapid charging station.