Multi-agents Based Distributed-Energy-Resource Management for Intelligent Microgrid with Potential Game Algorithm

This paper presents a multi-agent (MAS) solution to the energy management in microgrid. An introduction and analysis of the system, including the structure of microgrid, characteristics of MAS and the potential game theory, are presented firstly. Then, micro models of agents for each component are proposed. The MAS is shown of having attributes of distribution, heterogeneity, autonomous, dynamism and openness. And then, the overall model of MAS and the process of optimization are presented in the next part. Potential game theory is introduced which applying as the distributed optimization method embedded in each micro agent model. Finally, the MAS for microgrid is formulated and implemented by the JADE platform. A scenario case study on the MAS and its testing process are included in the paper.