Constraint-Guided Reinforcement Learning for Microgrid Energy Storage Scheduling Motivated by Virtual Power Plant Applications
The increasing integration of renewable energy and energy storage systems presents challenges for microgrid scheduling under uncertain operating conditions and multiple operational constraints. Conventional reinforcement learning methods may generate infeasible actions, while direct safety clipping can create inconsist...