关键词: 电网韧性, 拓扑结构, 黑启动, 最大根节点覆盖半径, 自适应层次分析法

Abstract:

With the frequent occurrence of extreme weather events and the large-scale integration of distributed energy resources, the operating environment of power grids has become increasingly complex, making enhancing power grid resilience a key to ensure the normal operation of society. To address the issues of traditional resilience assessment methods, such as strong dependence on source-load parameters and difficulty in coping with data uncertainty in practical engineering, this paper proposes a power grid resilience evaluation method integrating topological structure parameters and an adaptive analytic hierarchy process (A-AHP). The indicator of "maximum root node coverage radius" is introduced, combined with structural characteristics like betweenness centrality and closeness centrality, to comprehensively reflect the vulnerable links and overall collaborative capacity of the power grid under multi-unit black start recovery conditions. Through data-driven weight optimization and joint adjustment of classification thresholds, the transparency, interpretability, and classification accuracy of the model are improved. Simulation results show that the proposed method can effectively evaluate the impact of different black start resource allocation schemes on power grid resilience in the absence of detailed source-load parameters.

Key words: power grid resilience, topological structure, black start, maximum root node coverage radius, adaptive analytic hierarchy process