DocumentCode :
2444268
Title :
An artificial immune algorithm based on bidding of power market
Author :
Maojun, Li ; Zhong, Tang
Author_Institution :
Dept. of Electr. Eng., Changsha Univ. of Electr. Power, China
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
2405
Abstract :
This paper presents an artificial immune algorithm simulating the biological immune systems with self-adjustment function, and introduces its basic principle. For the bidding in power markets, this paper gives computation steps of the artificial immune algorithm. The artificial immune algorithm can simultaneously solve unit commitment and economic load distribution, and can expediently handle constraints of bidding in power markets. So the artificial immune algorithm is an effective method of the bidding in power markets.
Keywords :
power generation dispatch; power generation economics; power markets; power system economics; artificial immune algorithm; economic load distribution; power market bidding; self-adjustment function; unit commitment; Amino acids; Artificial immune systems; Biological system modeling; Immune system; Mathematical model; Power generation; Power generation economics; Power markets; Power system economics; Power system simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
Type :
conf
DOI :
10.1109/ICPST.2002.1047216
Filename :
1047216
Link To Document :
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