Physics-Guided Graph Safe Reinforcement Learning for High-Fidelity and Scalable Alternating Current Optimal Power Flow
The alternating current (AC) optimal power flow (AC-OPF) problem is crucial for efficient power system operation, yet it remains challenging due to its nonlinear, nonconvex structure and numerous operational constraints. This paper introduces a Physics-guided Graph Safe Reinforcement Learning (PGSRL) framework that pro...
Y. P. Singh, M. Saffari, A. Asrari
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