Disaster recovery strategies for cyber-physical systems considering the Interdependence

•Construct a collaborative recovery framework involving four parts: CPS dependency model, recovery model, recovery strategies, and post-recovery assessment.•In the collaborative recovery model, factors such as repair crew, repair time, and network reconstruction are considered, aimed at rapidly restoring the structural and functional resilience of CPS in the shortest possible time.•Develop multiple recovery strategies tailored to the structure and functional characteristics of CPS components, and evaluate the impact of each strategy on the recovery process.•Analyze the recovery effectiveness of different recovery times for cyber and physical components and different recovery strategies under various IEEE systems.•The simulation results indicate that moderately reducing repair times for cyber nodes and smaller network sizes contribute to improving repair efficiency. Improving the resilience of Cyber-Physical Systems (CPS) against extreme events is vital. Current research, overly focused on power system restoration, often misses the complex interplay between the physical and cyber aspects of these systems, leading to potential vulnerabilities. This paper first proposes a framework for CPS considering interdependence. The framework accounts for cyber-physical collaborative recovery and the connectivity between cyber nodes and control center in the cyber system. The model is built considering factors such as repair crew, repair time, and network reconstruction, aimed at rapidly restoring the structural and functional resilience of CPS in the shortest possible time. Next, it integrates complex network theory to propose different repair strategies based on structural and functional indicators. Finally, the repair efficiency of the proposed strategies is comprehensively evaluated using structural and functional metrics. Simulation results show that the repair efficiency of CPS is superior to traditional power grids, and moderate reduction in the repair time of cyber nodes and a decrease in network size both contribute to enhancing repair efficiency.