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Charging Station Planning to Maximize Extra Load Hosting Capacity in Unbalanced Distribution System

机译:充电站规划以最大限度地提高不平衡分配系统的额外负载托管能力

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The distribution system operation and planning are facing a great challenge from the increasing penetration of electric vehicles, especially in case of large amount of aggregated simultaneously charging load at public charging stations. This paper proposes a comprehensive planning method for allocating charging stations with a minimum impact on distribution system hosting capacity while satisfying public charging demand with reasonable travel distance and investment cost. A new concept of extra load hosting capacity (ELHC) is proposed to evaluate the maximum extra load that the system can absorb without operational violations. The EV charging demand is estimated using a transportation simulation tool with real-world data. The distribution system is modeled with a linear three-phase branch flow model that captures the multi-phase and unbalance of a distribution system. The planning problem is formulated as a mixed-integer linear programming (MILP) problem and is validated on the IEEE 123 node test feeder together with real-world Illinois transportation network data.
机译:分配系统运营和规划正面临电动车辆普及的普及,特别是在公共充电站的大量聚集同时充电负荷的情况下面临着巨大的挑战。本文提出了一种综合规划方法,可以为分配系统托管能力的最低影响分配充电站,同时满足公共收费需求,具有合理的旅行距离和投资成本。提出了一种新的额外负载托管能力(ELHC)的概念,以评估系统可以在没有操作违规的情况下吸收的最大额外负载。使用具有现实数据的运输仿真工具估算EV充电需求。分配系统采用线性三相分支流模型建模,捕获分配系统的多相和不平衡。规划问题被制定为混合整数线性编程(MILP)问题,并在IEEE 123节点测试馈线上验证以及现实世界伊利诺伊州运输网络数据。

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