Automated Multi-Timescale Coordination in Smart Grids via Graph Neural Network-Embedded DAE-Constrained Optimization
Coordination schemes for large-scale power systems often fail to accurately capture dynamic processes, thereby compromising physical feasibility. This paper proposes a graph neural network-embedded differential algebraic equation constrained optimization framework (GNN-DAE-COF) that integrates physical constraints into...