Coordinated Voltage Regulation of Microgrid Clusters Based on Deep Reinforcement Learning Approach

With the rapid development of microgrid cluster operation, the problem of voltage regulation in the coordinated operation of multiple microgrids faces practical challenges. Aiming at the problem of voltage regulation of multi-microgrids, this paper firstly establishes an optimization model of coordinated voltage regulation of multiple microgrids considering the coordination of source, grid, load and storage. Since the difficulty of solving the above optimization problem, it is further reformulated as a Markov game. Then, a novel collaborative voltage regulation algorithm based on multi-agent deep reinforcement learning (MADRL) is proposed. In order to improve the scalability of the algorithm, an attention mechanism is introduced into the multi-agent deep reinforcement learning algorithm. The simulation results show that the proposed algorithm can coordinate with multiple microgrids to regulate the voltage to a safe range.