含电动汽车和分布式电源的配电网的可靠性评估

Reliability evaluation for distribution network with electric vehicle and distributed generation

风电以及光伏等分布式电源大规模接入配网,改变了配网的网络结构和潮流走向,增加了配网潮流的不确定性。并且电动汽车的充电负荷在时间上和空间上存在随机性,与配网日常负荷叠加,改变了原有的供求关系,传统的可靠性评估方法不再适用。基于燃油车统计数据,考虑电动汽车的开始充电时刻以及行驶里程等随机因素,建立电动汽车充电需求模型,并采用序贯蒙特卡罗方法实现含分布式电源和电动汽车的配网可靠性评估。基于IEEE-RB TS Bus6测试系统主馈线F4,从电动汽车的电池类型、接入位置和汽车数量三方面分别对系统的可靠性指标进行量化分析。

The large-scale distributed generation such as wind and photovoltaic integrating into distribution network changes the network structure and flow direction and increases the uncertainty of power flow in distribution network. Meanwhile, the charging load of Electric Vehicles（EV） has randomness in time and space, and the superposition of daily load in distribution network with charging load of EV changes the original supply and demand, so traditional reliability assessment methods are no longer applicable. Based on statistical data of gasoline vehicle, this paper analyzes charging start instant and daily mileage and models the charging load of multi-EV, the sequential Monte Carlo method is applied to evaluate the reliability of distribution system containing distributed generation and EV. The main feeder F4 in IEEE-RBTS Bus6 test system is used to verify the validity of the reliability assessment method and make quantitative analysis of influence on system reliability from battery type of EV, location of charging point and numbers of EV respectively.