Title :
Cooperative Evolution Genetic Algorithm on Bidding of Power Market
Author_Institution :
Coll. of Electr. & Inf. Eng., ChangSha Univ. of Sci. & Technol.
Abstract :
This paper presents a modified genetic algorithm that is a cooperative mutation genetic algorithm on bidding of power market. This algorithm follows the basic pattern of genetic algorithms, but imposes gene cooperative mutation during genetic operation to raise efficiency of genetic operators. This algorithm can simultaneously solve on/off status of unit commitment and economic load distribution, and can expediently dispose constrains of bidding of power market. So the cooperative mutation genetic algorithm is an effective method of the bidding of power market
Keywords :
cooperative systems; genetic algorithms; load distribution; power distribution economics; power markets; cooperative evolution genetic algorithm; cooperative mutation genetic algorithm; economic load distribution; gene cooperative mutation; genetic operation; genetic operator efficiency; modified genetic algorithm; power market bidding; Genetic algorithms; Genetic mutations; Mathematical model; Power engineering and energy; Power engineering computing; Power generation; Power generation economics; Power markets; Power system security; Systems engineering and theory; Bidding of Power Market; Cooperative Evolution; Genetic Algorithm;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281706