Reinforcement Learning for Vehicle-to-Grid Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints
The episode discusses a reinforcement learning framework for Vehicle-to-Grid (V2G) voltage regulation, focusing on single-hub to multi-hub coordination with battery constraints. The hosts detail how this system uses RL to manage power setpoints across multiple charging points while respecting battery limitations. The paper proposes a two-phase training approach and validates the method against standard droop controllers.