DocumentCode
2820373
Title
A Multi-agent Control Method and Realization in Wind-Solar Hybrid Power Generation System
Author
Jia, Shuyun ; Chang, Jiang
Author_Institution
Dept. of Autom., Shenzhen Polytech., Shenzhen, China
Volume
1
fYear
2009
fDate
16-18 Oct. 2009
Firstpage
507
Lastpage
510
Abstract
Artificial intelligence (AI) is an advanced control method. Agent technology is farther development of AI. Wind-solar hybrid power generation is a novel and promising power system. But because of randomicity and complexity of the climate, it makes wind-solar hybrid power generation system to be a complicated system. In this paper, we introduce advanced agent technology into the wind-solar hybrid power generation system. Then, based on multi-agent technology, we establish the decision-making model of wind-solar hybrid power generation system. According to its function, the whole system is divided into several agent modules and each agent module is again divided into some detailed agents. What is more, we realize system 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 hybrid power generation system and it can enhance power system´ intelligence. So it makes system more robust.
Keywords
hybrid power systems; intelligent control; multi-agent systems; power engineering computing; power generation control; artificial intelligence; decision-making model; multiagent control method; power system intelligence; wind-solar hybrid power generation system; Artificial intelligence; Automatic generation control; Control systems; Hybrid power systems; Power generation; Power generation economics; Power system modeling; Solar power generation; Wind energy generation; Wind power generation; decision-making model; multi-agent technology; optimization control; wind-solar energy hybrid power generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location
Guilin, Guangxi
Print_ISBN
978-0-7695-3819-8
Type
conf
DOI
10.1109/ICEET.2009.128
Filename
5363532
Link To Document