Multi- agent Collaborative Optimal Operation Strategy of Microgrid Based on Master-Slave Game

Liangyou Wang, Bo Yue, Xuyan Zhou, Changping Sun, Yibo Su, Peng-yuan Wang
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Abstract

The microgrid system is an energy network with renewable energy as the core, multi-energy network coupling, and multi-interest subject synergy. The balance of constraints between multiple agents is the key to realize the optimal operation of the system. Driven by different interest goals, there is an urgent need to establish a microgrid multi-corporate interaction mechanism and corresponding optimization methods. Therefore, this paper firstly constructs a multi- agent game interaction mechanism including microgrid operators, energy storage operators and users, and establishes a multi- agent game optimization model with one master and many subordinates by fully considering the economic interest game among the three and the uncertainty of both sides of the source and load. Then, this paper adopts a distributed equilibrium solution method of particle swarm algorithm combined with CPLEX solver to solve the model, and illustrates with practical examples that the multi-agent game model established in this paper can maximize the interests of each agent, and verifies the feasibility and applicability of the proposed method.
基于主从博弈的微电网多智能体协同优化运行策略
微电网系统是以可再生能源为核心,多能源网耦合,多利益主体协同的能源网络。多智能体之间的约束平衡是实现系统最优运行的关键。在不同利益目标的驱动下,迫切需要建立微电网多企业互动机制及相应的优化方法。为此,本文首先构建了包括微网运营商、储能运营商和用户在内的多智能体博弈交互机制,并在充分考虑三者之间经济利益博弈和源负荷双方不确定性的情况下,建立了一主多从的多智能体博弈优化模型。然后,采用粒子群算法的分布式平衡求解方法结合CPLEX求解器对模型进行求解,并通过实例说明本文建立的多智能体博弈模型能够使每个智能体的利益最大化,验证了所提方法的可行性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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