提高配电系统弹性的可移动能源最优规模和数量的确定
Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement
摘要：
提出了一种基于图论和组合枚举的可移动能源（MER）规模确定方法，以提高电力供应的弹性。所提出的方法确定了在配电系统中部署的市场汇率的规模和数量，以确保配电系统在极端事件发生后尽可能快地恢复。所提出的方法首先生成多个线路停电的情况下，配电线路的脆弱性曲线的基础上。使用k-means方法减少生成的场景。配电网络被建模为图，其中针对每个减少的线路停电场景执行配电网络重构。组合枚举技术用于计算总MER的大小和数量的所有组合。确定对应于MER的每个位置组合的预期负荷削减（ELC）。总MER的所有组合的最小ELC用于构造最小ELC矩阵，该矩阵随后用于确定MER的最佳大小和数量。在一个33节点的分布式测试系统上进行了算例分析，验证了该方法的有效性.
英文摘要：
This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power supply. The proposed approach determines the size and number of MERs to be deployed in a distribution system to ensure the quickest possible recovery of the distribution system following an extreme event. The proposed approach starts by generating multiple line outage scenarios based on fragility curves of distribution lines. The generated scenarios are reduced using the k-means method. The distribution network is modeled as a graph where distribution network reconfiguration is performed for each reduced line outage scenario. The combinatorial enumeration technique is used to compute all combinations of total MER by size and number. The expected load curtailment (ELC) corresponding to each locational combination of MERs is determined. The minimum ELCs of all combinations of total MER are used to construct a minimum ELC matrix, which is later utilized to determine optimal size and number of MERs. The proposed approach is validated through a case study performed on a 33-node distribution test system.
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