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

机译:基于非自由度游戏的岛屿多用途格林分布式模型预测控制策略

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摘要

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.
机译:岛集团的多种式格栅(MMGS)系统在地理上分散了不同的所有权。在本文中,提出了一种基于分布式模型预测控制的控制策略,以优化岛上MMG的经济调度。该策略是基于动态非自由作博弈论规范了属于不同业主的微电网(MGS)之间的交易行为。该机制在确保单镁系统的闭环稳定性的前提下最大化MGS的经济益处。只需要最小的通信信息交换,这避免了中央控制器的需求,并且可以帮助MG保护其自由度的操作信息。拟议的策略可以最大限度地提高电力交易的好处,并显着降低系统的运营成本,同时确保供需之间的平衡。提出了仿真结果,以证明拟议的控制策略的公平性和有效性。

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