Physics-Consistent Safe Reinforcement Learning With Risk-Adaptive Stochastic MPC for Cyber-Resilient AC Microgrids
Learning-based microgrid energy management has matured rapidly, yet existing safe-reinforcement-learning (RL) and stochastic-MPC hybrids typically treat the AC network as a power-balance constraint and the battery as a scalar state-of-charge integrator. Both abstractions discard the physics that determines whether a co...