A novel multi−agent deep reinforcement learning framework for fast frequency response in inverter−based hybrid power plants

fast frequency response, grid−forming inverters, hybrid power plants, inverter−based resources, multi−agent deep reinforcement learning, proximal policy optimization, electrical and computer engineering, engineering