Shuhan Zhao

Topology-aware graph reinforcement learning for generalizable cascading failure mitigation in hybrid AC/DC power systems

Cascading failures in hybrid AC/DC power systems can propagate rapidly through DC-side disturbances, AC branch overloads, topology changes, and islanding, making emergency mitigation a constrained sequential decision-making problem under evolving network structures. This paper proposes a topology-aware graph reinforcem...