不平衡配电系统中充电站规划的额外负荷承载能力最大化

Lusha Wang, J. Kwon, Omer Verbas, A. Rousseau, Zhi Zhou
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引用次数: 6

摘要

随着电动汽车的日益普及,特别是在公共充电站同时充电负荷较大的情况下,配电系统的运行和规划面临着巨大的挑战。本文提出了一种综合规划方法,以合理的行程距离和投资成本,在满足公众充电需求的同时,对配电系统承载能力的影响最小。提出了额外负载承载能力(ELHC)的新概念,用于评估系统在不违反操作的情况下所能承受的最大额外负载。使用交通模拟工具和真实世界数据估计电动汽车充电需求。用线性三相支路流模型对配电系统进行了建模,该模型反映了配电系统的多相性和不平衡性。该规划问题被表述为一个混合整数线性规划(MILP)问题,并在IEEE 123节点测试馈线和真实的伊利诺伊州交通网络数据上进行了验证。
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Charging Station Planning to Maximize Extra Load Hosting Capacity in Unbalanced Distribution System
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.
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