提出了一种考虑配网潮流约束的高速公路快速充电站校正规划方法。利用电动汽车充电需求预测模型得到高速公路上电动汽车充电需求点的时空分布信息;在此基础上.基于共享型最近邻居聚类算法构建高速公路快速充电站的选址模型,以确定快速充电站的站址方案:进而基于排队论理论和充电需求的时空分布构建快速充电站定容模型,以确定快速充电站的容量配置。对该规划方案下配网潮流约束进行判断,若不满足,则利用所提出的校正原则对规划方案进行修正,直到满足配网的潮流约束为止.以得到最终的快速充电站规划方案。通过典型算例验证了所提规划方法的有效性。
A method of freeway FCS(Fast Charging Station) planning and correction considering flow constraints of distribution network is proposed. The EV (Electric Vehicle) charging demand the power- prediction model is adopted to obtain the spatial-temporal distribution of freeway EV charging demand points,based on which,the SNN(Shared Nearest Neighbor) clustering algorithm is applied to build a location determination model for developing the freeway FCS location scheme and also the queuing theory is applied to build a capacity determination model for developing the freeway FCS capacity configuration. The obtained freeway FCS planning scheme is then judged by the power-flow constraints of distribution network and modified by the proposed correction principle until all these constraints are satisfied. Case study for a typical freeway verifies the validity of the proposed method.