Vulnerability ranking and identification of AC fault nodes in coupled systems based on IFAHP-IMABAC method

In order to better reveal the vulnerability characteristics of the wind-solar-thermal coupled system in northern China, this paper proposes a node vulnerability ranking and identification method. Firstly, according to the characteristics of AC faults and the inherent topology of the network, a set of dynamic and static evaluation indexes is constructed. Secondly, the intuitionistic fuzzy analytic hierarchy process and sparrow search algorithm are used to solve the combined weight optimization model. Then, combined with the improved MABAC method, the results of the comprehensive evaluation model are mapped to the percentile interval, and the severity grading evaluation reference table is established based on the weakness score reference value. Finally, taking a regional coupling system in Liaoning Province of China as an example, the node vulnerability under different conditions of single fault, double fault and new energy proportion is evaluated. Based on the risk theory, the fault risk model is introduced, and the results further show the consistency with the evaluation results of the proposed method. The results show that the vulnerable nodes of the system are mainly concentrated in a separate partition.