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

被引：0

作者：

Lin, W. ^{[1
]}

Chen, Y. R. ^{[1
]}

Wang, Q. Q. ^{[1
]}

Zeng, J. ^{[1
]}

Liu, Junfeng ^{[2
]}

机构：

[1] South China Univ Technol, Sch Elect Power, Guangzhou, Guangdong, Peoples R China

[2] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Guangdong, Peoples R China

来源：

IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2017年

关键词：

multi-agent; microgrid; potential game; JADE;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：7795 / 7800

页数：6

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