Strengthening Critical Power Network Branches for Cascading Failure Mitigation

Biwei Li, Dong Liu, Junyuan Fang, Xi Zhang, Chi K. Tse

Abstract: Strengthening critical components is considered one of the most essential means to enhance the robustness of power networks against cascading failure. This paper proposes an iterative method to strengthen the critical power network branches identified from a tailor-made failure propagation graph. To construct the failure propagation graph, we generate numerous cascading failure trees, capturing both temporal and spatial features of failure propagation processes from cascading failure simulations. The constructed graph is a weighted and directed graph that is able to characterize failure propagation patterns in a power network. By employing weighted eigenvector centrality to assess node criticality, we iterate through the graph to identify the most significant nodes and subsequently determine the critical power network branches to be strengthened. Simulation results in the IEEE 118 bus system demonstrate the effectiveness and efficiency of our strategy in mitigating cascading failure compared to existing methods.