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Community-detection-based Approaches for Distribution Network Partition
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A rational partition is the key prerequisite for the application of distributed algorithms in distribution networks.This paper proposes community-detection-based approaches to a distribution network partition,including a non-overlapping partition and a border-node partitioning method.First,a novel electrical distance is defined to quantify the coupling relationships between buses and it is further used as the edge weight in a transformed equivalent graph.Then,a vertex/link partition community detection approach is applied to over-partition the network into high intra-cohesive and low inter-coupled subre-gions.Following this,a greedy algorithm and a tabu search method are combined to merge these subregions into target numbers according to the scale similarity principle.The proposed approaches take the influence of three-phase imbalance into con-sideration and they are decoupled from the power flow.Finally,the approaches are tested on an IEEE 123-bus distribution system and the results verify the effectiveness and the credibility of our proposed methods.
Community detectiondistribution network partitionthree-phase imbalance
Mingming Mao、Zaijun Wu、Dongliang Xu、Junjun Xu、Qinran Hu
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School of Electrical Engineering,Southeast University,Nanjing 210096,China
State Grid Shanghai Municipal Electric Power Company Pudong Power Supply Company,Shanghai 200122,China
College of Automation and College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
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