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