A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN

Graph construction is a critical but underexamined design choice in deep reinforcement learning for power grid control. We present a controlled experimental comparison of different graph representations, including physical topology, electrical-sensitivity, and hybrid variants for topology control in...