Cooperative Evolution Genetic Algorithm on Bidding of Power Market

Author

Maojun, Li

Author_Institution

Coll. of Electr. & Inf. Eng., ChangSha Univ. of Sci. & Technol.

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

513

Lastpage

515

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CESA.2006.4281706

Filename

4281706