DocumentCode :
3093986
Title :
Modeling and application of wind-solar energy hybrid power generation system based on multi-agent technology
Author :
Chang, Jiang ; Jia, Shu-yun
Author_Institution :
Dept. of Autom., Shenzhen Polytech., Shenzhen, China
Volume :
3
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
1754
Lastpage :
1758
Abstract :
Agent technology is further development of artificial intelligence (AI). Multi-agent system is an agent society made up of several agents. By the collaboration of multi-agent, it can optimize control system and enhance its intelligence and reliability. Wind and solar energy hybrid power generation is a novel and promising power system. Randomicity and complexity of the climate make wind and solar hybrid power generation system a complicated system. In this paper, we first introduce advanced agent technology into wind and solar energy hybrid power generation system, establish the wind and solar energy hybrid power generation multi-agent system (WSHGMAS) and analyze multi agents´ collaboration relationship. At last, by the agent´ application in WSHGMAS, it can realize sea-island, remote region, unmanned operation´ wind-solar energy hybrid power generation system and enhance power system´ intelligence and reliability.
Keywords :
hybrid power systems; multi-agent systems; power engineering computing; solar power stations; wind power plants; artificial intelligence; climate complexity; hybrid power generation system; multiagent collaboration; multiagent system; multiagent technology; power system intelligence; power system reliability; wind-solar energy; Artificial intelligence; Hybrid power systems; Power generation; Power system modeling; Power system reliability; Solar energy; Solar power generation; Wind energy; Wind energy generation; Wind power generation; Multi-agent technology; Optimization control; Wind and solar energy hybrid power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212325
Filename :
5212325
Link To Document :
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