DocumentCode
1909500
Title
Research on Multi-agent Decision-Making Model of Wind-Solar Complementary Power Generation System
Author
Jia, Shuyun ; Chang, Jiang
Author_Institution
Dept. of Autom., Shenzhen Polytech., Shenzhen, China
Volume
4
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
7
Lastpage
10
Abstract
with the development of computer and network, new control methods appear in industrial control system. And more intelligent and roboticized agent technology also appears after artificial intelligence (AI). Agent technology is farther development of AI. Wind and solar energy complementary power generation is a novel and promising power system, but because of randomicity and complexity of the climate, it makes wind and solar complementary power generation system a complicated system. In this paper, we first introduce advanced agent technology into wind and solar energy complementary power generation system, Then we establish the multi-agent decision-making model of wind and solar energy complementary power generation MADMWSCPS. In the MADMWSCPS, according to its function, the whole system is divided into several agent modules and each agent module is divided into some detailed agents. At last, we realize a decision-making process by the flexible collaboration and communication of these agents. The scheme can be applied into sea-island, remote region, unmanned operation´ wind-solar energy complementary power generation system, it can enhance power system´ intelligence and reliability.
Keywords
decision making; industrial power systems; multi-agent systems; power generation control; artificial intelligence; industrial control system; multiagent decision making model; wind-solar complementary power generation system; Artificial intelligence; Decision making; Power generation; Power system modeling; Power system reliability; Solar energy; Solar power generation; Wind energy; Wind energy generation; Wind power generation; decision-making model of wind-solar energy complementary power generation; multi-agent technology; optimization control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.718
Filename
5288194
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