DocumentCode :
2257826
Title :
Design and implementation of MAS in renewable energy power generation system
Author :
Jia, Shu-yun ; Chang, Jiang
Author_Institution :
Dept. of Autom., Shenzhen Polytech., Shenzhen, China
Volume :
1
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
22
Lastpage :
25
Abstract :
Multi-agent system (MAS) is farther development of distributed artificial intelligence. Agent technology is an advanced control method. Now the human are faced with the problem of energy sources lack and environment worsened. Wind and solar energy will be promising renewable energy in century. But randomicity and complexity of climate make wind-solar hybrid power generation system difficult to be controlled. In order to resolve the control problem in open dynamic modern electric power system, the paper design the multi-agent model of wind-solar power generation system and implement the system using software and hardware. And the scheme can enhance the power system´ intelligence and robustness. So it can be applied into sea-island, remote region, unmanned operation´ wind-solar energy hybrid power generation system.
Keywords :
hybrid power systems; intelligent control; multi-agent systems; power generation control; solar power; solar power stations; wind power; wind power plants; advanced control method; distributed artificial intelligence; intelligent control; multiagent system; renewable energy power generation system; solar energy; wind energy; wind-solar hybrid power generation system; Batteries; Collaboration; Multiagent systems; Power generation; Power systems; Solar energy; Wind energy; Intelligence control; Multi-agent system(MAS); Renewable energy power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5581101
Filename :
5581101
Link To Document :
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