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

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.