多种类型电动汽车接入配电网的充电负荷概率模拟

Simulation of charging load probability for connection of different electric vehicles to distribution network

通过研究不同类型电动汽车的充电特性,针对混合电动汽车改进了初始荷电状态的抽样方法;计及充电时间长度对开始充电时刻选择的影响,同时引入电动汽车实时充电数量的随机因素,建立了多种类型电动汽车充电负荷需求的概率模型。某地的配电网负荷数据和IEEE 34节点系统算例结果表明,在电动汽车渗透率相同的情况下,其充电高峰时段工作日负荷高于休息日负荷;适当提高换电池电动汽车比例可以降低电动汽车对配电网带来的负荷冲击。

The charging characteristics of EV（Electric Vehicle） are studied for different types and the way to sample the initial state of charge is modified for hybrid EV. With the real-time number of charging EVs as the random factor,the probability model of charging load for different EV types is built,which considers the impact of charging duration on the selection of charging start time. Case study based on the load data of a real distribution network and IEEE 34-bus system shows that,with the same EV penetration rate,the peak charging load of workday is heavier than that of holiday and the proper increase of battery swap rate can decrease the load shock of EV on distribution network.