Critical Branch Identification Based on Copeland Scoring Method in Typhoon Scenarios
Zejin Li, Jingbo Shan, Yueqian Zhang, Yuxiong Huang, Gengfeng Li, Zhiran Wang, Jiayi He, Boyuan Shuai · 2025
This paper proposes an identification method for critical branches in resilient distribution network systems in typhoon scenarios based on Copeland scoring method. First, a distribution network fault model is introduced to simulate the performance of the branches under certain typhoon scenarios. Under such conditions, mixed-integer linear program-ming(MILP) model considering the dynamic interconnection technology of microgrids is established to obtain the optimal power supply solution. Subsequently, a critical branch scoring method for distribution networks based on Copeland scoring method is proposed. The proposed method is applied to the IEEE123 test system, and the effectiveness of the proposed method is verified by comparing it with the N-1 importance evaluation method. The results show that the proposed method can effectively improve the resilience of distribution networks