In view of Internet of Energy, advanced operational optimization in microgrid energy management system (MEMS) is expected to be scalable to accommodate various participants, support plug-and-play, and optimize energy utilization. Based on potential game, this paper presents a fully distributed operational optimization for MEMS with high penetration of renewable energy and demand response. After analyzing the microgrid and potential game, the establishment and proof of an exact potential game model is presented in detail. Then the best-strategy-response iterative algorithm is proposed to find the game Nash equilibrium in a distributed way. Finally, the proposed approach is simulated in an islanded microgrid to verify its efficiency and feasibility. The significances of this paper are as follows. First, the scheme and algorithm are fully distributed. All heterogeneous individuals are treated as independent decision-making entities without a central coordinator/processor. Second, the optimization process is open and dynamic. The convergence is achieved with no limits to type or number of players, even if the process of execution is corrupted with delay or losses in communication information. Third, the consistency between individual rationality and overall importance is guaranteed, and individual best-strategy-response behaviors necessarily improve overall optimality.

中文翻译：

---

可再生能源和需求响应微电网能源管理分布式运行优化的潜在博弈方法


考虑到能源互联网，微电网能源管理系统（MEMS）的先进运行优化有望可扩展，以适应不同的参与者，支持即插即用，并优化能源利用。基于潜在博弈，本文提出了一种针对可再生能源和需求响应高渗透率的MEMS的全分布式运行优化。在分析微电网和电势博弈的基础上，详细介绍了精确的电势博弈模型的建立和证明。然后提出最佳策略响应迭代算法以分布式方式寻找博弈纳什均衡。最后，在孤岛微电网中对所提出的方法进行仿真，验证其效率和可行性。本文的研究意义如下。首先，方案和算法是完全分布式的。所有异质个体都被视为独立的决策实体，没有中央协调员/处理器。其次，优化过程是开放的、动态的。即使执行过程因通信信息的延迟或丢失而被破坏，也可以在不限制玩家类型或数量的情况下实现收敛。第三，个体理性与整体重要性的一致性得到保证，个体的最佳策略响应行为必然提高整体最优性。