**Situation-Aware Resilience of Cyber-Physical Power Systems**

Cyber-physical power systems are vulnerable to physical failures (e.g., equipment failures) and cyber threats (e.g., data manipulation, false data injection attacks). To ensure reliability, the grid must be self-healing, adaptive, and resilient in minimizing disruptions. Achieving resilience requires strategies that address both cyber and physical failures, along with optimal operation of controlled equipment, such as DERs and switches, to maximize electricity supply during disruptions. Additionally, cyber-physical coordinated anomaly detection methods are essential for real-time cyberattack detection and mitigation.

To address these challenges, we proposed cyber-physical reconfiguration strategies to maximize electricity supply during disruptions. We also developed staggered sensor-data-driven volt-var control strategies for distribution systems including the secondary networks, facilitating grid operation. Furthermore, we designed large language model-based reconfiguration strategies that effectively minimize system loss, providing quality electricity.