Robust Resilience Enhancement Strategy Against Uncertain Cyber-Physical Coordinated Attacks Considering Power-Communication Network Interdependence

Due to the interdependence between power and communication networks, cyber-physical power systems (CPPSs) are more vulnerable to cyber-physical coordinated attacks involving uncertainties in attack resources. Such attacks can simultaneously disrupt power and communication networks, causing severe consequences for CPPSs. To address this issue, a distributionally robust resilience enhancement (DRRE) model is proposed to enhance the resilience of CPPSs against uncertain cyber-physical coordinated attacks. An uncertainty set is constructed to describe variations in attack resources, and an ambiguity set based on the Wasserstein metric is developed to characterise the unknown probability distributions of attack resources. Moreover, the DRRE model integrates the functional and topological interdependencies of power and communication networks with the optimal allocation of control centres to enhance system resilience. Then, a combined solution (CS) algorithm integrating the column-and-constraint generation (C&CG) and Benders decomposition (BD) methods is developed to efficiently solve the DRRE model. Finally, simulation results on a modified IEEE RTS-79 system and a practical 62-bus system demonstrate the effectiveness of the proposed approach.