面向间歇性发电的灾后韧性信息物理配电网重构与动态组网微电网构建

The increasingly tight integration of cyber networks (CNs) with power distribution network (DNs) form cyber-physical distribution systems (CPDS), which is highly vulnerable to disruptions from high-impact, low-probability (HILP) events such as natural disasters and cyberattacks due to cyber-physical interdependence. Existing restoration strategies often reconfigure the DN without accounting for its interdependence with the CN, resulting in suboptimal outcomes. This paper presents a cyber-physical coordinated reconfiguration (CPCR) framework for the swift restoration of critical loads following extreme events before additional resources can be deployed. A graph-theoretic model is proposed to represent the CPDS as a unified graph that captures bidirectional dependencies between DN and CN layers while reducing the computational complexity. A heuristic is developed to identify cyber-physical shortest paths that jointly optimize load restoration and communication latency. The framework also incorporates power system constraints, control feasibility, and renewable generation intermittency to enable realistic, adaptive operation. Simulation results on IEEE standard test systems demonstrate the method's effectiveness in improving restoration speed, resilience, and operational efficiency compared to existing approaches.