A Macroscopic Resilience Assessment Framework for Integrated Transmission-Distribution Networks Based on Percolation Theory

作者：W X Liu, Lei Wang, Yulu Yang, Yannan Tuo, Kaiwen Hou, Chenghuang Wu, Jingzhe Wang, Jiyuan Tang · 年份：2025 · DOI：10.1109/icoecai67333.2025.11336119 · 研究领域：Optimal Power Flow Distribution、Infrastructure Resilience and Vulnerability Analysis、Power System Reliability and Maintenance

With growing power demand and increasingly tight coupling between transmission and distribution networks, a single extreme natural disaster can trigger cascading failures and large-scale blackouts in integrated transmission-distribution networks (ITDN). To address the inadequacy of traditional microscopic assessment methods for such integrated systems, we propose a new macroscopic resilience framework that defines a two-dimensional resilience region for the ITDN. We use a Monte Carlo method to generate initial failure scenarios and a percolation-based approach to simulate progressive failure propagation. The percolation threshold, defined as the critical failure proportion at which the system collapses, serves as a statistical metric to quantify the system's robustness. Additionally, we introduce a line criticality index to identify vulnerable components and validate that reinforcing these critical lines can enhance system resilience. Simulation results from the T6-D2 test system show that our method accurately delineates the resilience boundary of the coupled grid, providing key theoretical support for grid planning and disaster defense strategies.