Distributed Model Predictive Control Strategy for Islands Multimicrogrids Based on Noncooperative Game

The multimicrogrids (MMGs) system of the island group is geographically dispersed with different ownership. In this article, a control strategy based on distributed model predictive control is proposed to optimize the economic scheduling of MMGs on an island group. The strategy is designed based on the dynamic noncooperative game theory to regulate the trading behavior among microgrids (MGs) belonging to different owners. The mechanism maximizes the economic benefits of the MGs under the premise of ensuring the closed-loop stability of the single MG system. Only a minimum amount of communication information exchange is needed, which avoids the demands of the central controller and can help the MG to protect its privacy of operating information. The proposed strategy can maximize the benefits of power trading and significantly reduce the operating cost of the system while ensuring the balance between supply and demand. Simulation results are presented to prove the fairness and validity of the proposed control strategy.