Community-Detection-Based Approaches for Distribution Network Partition

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 click here 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 subregions.

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 click here into consideration 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.