考虑分布式电源出力随机特性的配电网节点脆弱性评估

Along with the access of distributed generation and continuous expansion of distribution network scale, the safety and reliability of distribution network face challenges, and the problem of vulnerable link identification for distribution network needs to be solved urgently. Considering the influence of the randomness of distributed generation output on the vulnerability of distribution network nodes, a random output model of wind power and photovoltaic based on Latin hypercube sampling is established. The node vulnerability evaluation indexes of improved node degree, improved betweenness, etc, are proposed based on the complex network theory and radial topological condition of distribution network. The sampling results of random output model of distributed generation are used to obtain the distribution characteristic of node vulnerability index. A fuzzy comprehensive evaluation method based on sample correction weights is proposed to analyze the node vulnerability of distribution network considering the randomness of distributed generation. The feasibility and effectiveness of the proposed method are verified by the case results of an improved IEEE 123-bus system.