Abstract
AbstractIn order to realize the cooperative control of distributed multi-region networked microgrids, a multi-agent cooperative control strategy based on the reinforcement learning algorithm, namely WDQ(λ), is proposed from the perspective of automatic generation control. The proposed strategy avoids the overestimation and underestimation of action in traditional reinforcement learning and then obtains the distributed multi-region cooperation . Through the simulation of distributed three-region networked microgrids automatic generation control model including large-scale distributed generators, the results show that the proposed control strategy has better control performance and faster convergence speed compared with the other traditional methods and can effectively obtain the distributed multi-region cooperation of the networked microgrids.KeywordsNetworked microgridsAutomatic generation controlReinforcement learning algorithmMulti-region cooperation
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