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针对电动汽车(electric vehicle,EV)充电负荷在空间中的合理布局等问题,现有相关文献主要围绕充电站的选址和定容展开研究,尚未论及如何确定充电站在所属区域配电系统中的电气接入点。在此背景下,该文针对计及对潮流影响的电动汽车充电站电气接入点的选择问题进行探讨。首先,依据电动汽车出行统计数据拟合结果,获得初始荷电状态(state of charge,SOC)及起始充电时刻分布特性,建立电动汽车充电负荷的概率模型,同时利用蒙特卡洛仿真求解,并采用深圳市电动出租车的实际数据对这种方法做了验证。之后,以节点电压偏差百分数和支路有功功率损耗增量百分数为基础,构造了评价充电站对配电系统潮流影响的综合指标,进而提出了确定充电站最优电气接入点的方法。最后,以修改的IEEE 33节点配电系统为例对所提出的方法进行了说明。
In order to solve the problem of reasonable layout of electric vehicle (EV) charging space in space, the related literatures mainly focus on the location and capacity of charging stations, and have not yet discussed how to determine the distribution system of charging stations in their area In the electrical access point. In this context, this paper discusses the selection of electrical access points for electric vehicle charging stations that have an impact on the trend. Firstly, according to the result of electric vehicle travel statistics fitting, the state of charge (SOC) and the initial charging time distribution are obtained, and the probability model of electric vehicle charging load is established. At the same time, the model is solved by Monte Carlo simulation. Using the actual data of Shenzhen electric taxi to verify this method. Then, based on the percentage of node voltage deviation and the percentage of increment of active power loss of the branch, a comprehensive index to evaluate the influence of charging station on power flow in distribution system is constructed, and then the method of determining the optimal electrical access point of charging station is proposed. Finally, the modified IEEE 33-bus power distribution system is used as an example to illustrate the proposed method.