基于改进随机游走介数中心性的配电网节点脆弱性评估

Vulnerability Assessment of Distribution Network Nods Based on Improved Random-Walk Betweenness Centrality

针对传统配电网脆弱性评估中多指标评价方法存在的不足,提出了一种基于复杂网络理论与改进随机游走介数中心性的配电网脆弱性评估方法,并考虑了分布式电源(DG)接入对节点脆弱性的影响。首先,通过将风力发电视为PQ节点,将光伏发电视为PI节点和PV节点建立DG出力模型。其次,通过改进的随机游走介数中心性算法来识别配网脆弱节点;再次,使用修正因子对节点权重进行修正以反映分布式电源接入对配电网脆弱节点识别的影响;最后,分别在标准和考虑分布式电源接入的IEEE33节点系统上进行仿真计算,验证了该方法的可行性和有效性。

Aiming at the deficiencies of multi-indicator evaluation method in traditional distribution network vulnerability assessment,this paper proposes a power distribution network vulnerability assessment method based on complex network theory with improved random-walk betweenness centrality,which also considers the influence of distributed generation(DG)access on node vulnerability.First,the DG output model is established by considering wind power as PQ nodes,PV power as PI and PV nodes.Second,the distribution network vulnerable nodes are identified by an improved random-walk betweenness centrality algorithm.Thirdly,the node weights are corrected by using a correction factor to reflect the impact of distributed power access on the identification of vulnerable nodes in the distribution network.Finally,simulation calculations are carried out on standard and IEEE33-node systems considering distributed power access,respectively,and the feasibility and effectiveness of the proposed method are verified.