A multi-agent consensus-based market scheme is proposed for the cooperation of community and multiple microgrids (MGs) in a distributed, economic and hierarchal manner. The proposed community-based market framework with frequency regulation (FR) market is formulated as a two-level scheduling problem: the global decision-making process of community agent (CA) to participate in the FR market and the interaction and control process of local MGs to achieve collaboration in response to the global target with efficient pricing rules. Specifically, the model predictive control (MPC) is integrated with the consensus-based theory to allow MG to obtain an economic and reliable dispatch in the presence of uncertainties of distributed generators and loads. Thanks to the distributed nature of the proposed scheme, its robustness to communication issues has been strengthened and a win-win situation for all energy stakeholders can be achieved. The robustness of the proposed scheme is investigated in various conditions, including different implementation strategies, communication topologies, and the level of uncertainties.

中文翻译：

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具有不确定DG和负载的基于混合Agent的智能社区能源系统模型预测控制方案

提出了一种基于多主体共识的市场计划，用于社区和多个微电网（MG）以分布式，经济和分层的方式进行合作。拟议中的基于频率调整（FR）市场的基于社区的市场框架被表述为两级调度问题：社区代理（CA）参与FR市场的全球决策过程以及本地市场的交互和控制过程。 MG通过有效的定价规则来实现针对全球目标的协作。具体而言，模型预测控制（MPC）与基于共识的理论相集成，以使MG在存在分布式发电机和负荷不确定性的情况下获得经济可靠的调度。由于提议的方案具有分布式性质，它对沟通问题的鲁棒性得到了增强，所有能源利益相关者都可以实现双赢。在各种条件下（包括不同的实现策略，通信拓扑和不确定性级别）研究了所提出方案的鲁棒性。