Failure Propagation Analysis Through Dynamic Evolution of the Vulnerability Community Network

Failure propagation analysis reveals the mechanism of cascades in power system. While simulations offer a direct approach to depicting failure propagation paths, they often remain confined to specific scenarios. To comprehend the overarching patterns of failure propagation in power systems, this paper introduces a novel methodology rooted in the dynamic co-evolution of vulnerability community networks and the cascades. Specifically, we built up an initial vulnerability community network (IVCN) based on topological pairwise network and failure concentric circles network. To consider the failure evolution, 3 propagation mechanisms are modeled under the Susceptible-Infectious-Recovered (SIR) model for the dynamic evolution of the IVCN. Employing the IEEE39 bus system for validation, our simulations unveil the persistence of community characteristics in both static and dynamic contexts. In addition, the community boundary nodes and internal nodes contribute differently to the failure propagation. By effectively capturing vulnerability community features, the proposed methodology offers valuable insights into failure propagation within power systems.