A multi-agent solution to energy management in hybrid renewable energy generation system

被引：133

作者：

Jun, Zeng ^{[1
,2
]}

Liu Junfeng ^{[2
]}

Jie, Wu ^{[1
,3
]}

Ngan, H. W. ^{[2
]}

机构：

[1] S China Univ Technol, Elect Power Coll, Guangzhou 510641, Peoples R China

[2] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[3] Guangdong Key Lab Clean Energy Technol, Guangzhou, Guangdong, Peoples R China

来源：

RENEWABLE ENERGY | 2011年 / 36卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Hybrid renewable energy generation system; Energy management; Multi-agent system; JADE; POWER ENGINEERING APPLICATIONS; COST-ANALYSIS; WIND; OPTIMIZATION; METHODOLOGY;

D O I：

10.1016/j.renene.2010.11.032

中图分类号：

X [环境科学、安全科学];

学科分类号：

083001 [环境科学];

摘要：

This paper presents a multi-agent (MAS) solution to energy management in a distributed hybrid renewable energy generation system. An introduction and analysis of the system, including its constituents, characteristics and excitation mechanism are presented first. Then, validation of the MAS solution demonstrates its feasibility in meeting all the requirements of the system. Five kinds of agents are proposed to present the Energy Management System. Each agent is built as a three layered architecture. A macro MAS is also presented in detail with a framework containing its overall optimisation function based on JADE (Java Agent Development). Discussion about the agents' behaviours and a scenario case study on the MAS and its testing process are included in the paper. It indicates that the MAS is a suitable solution for the energy management of the distributed hybrid renewable energy generation system. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1352 / 1363

页数：12

共 25 条

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Advanced simulation of windmills in the electric power supply [J].