Optimal control in microgrid using multi agent reinforcement learning

This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid- connected mode. Firstly, the microgrid control requirements are analyzed and the objective functi