DocumentCode
2720228
Title
Improved genetic algorithm for economic load dispatch with valve-point loadings
Author
Ling, S.H. ; Lam, H.K. ; Leung, F.H.F. ; Lee, Y.S.
Author_Institution
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
Volume
1
fYear
2003
fDate
2-6 Nov. 2003
Firstpage
442
Abstract
Economic load dispatch is one of the optimization problems in power systems. This paper presents an improved genetic algorithm for economic load dispatch with valve-point loadings. New crossover and mutation operations are introduced. The solutions of the economic load dispatch with valve-point loadings under three cases are solved by the improved genetic algorithm. Test results are given and compared with those from different published genetic algorithms. It is shown that the proposed improved genetic algorithm performs better than the published genetic algorithms.
Keywords
genetic algorithms; load dispatching; power system economics; crossover operations; economic load dispatch; genetic algorithm; mutation operations; optimization; power systems; valve point loadings; Cost function; Fuel economy; Genetic algorithms; Genetic mutations; Multimedia systems; Power engineering and energy; Power generation; Power generation economics; Power system economics; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN
0-7803-7906-3
Type
conf
DOI
10.1109/IECON.2003.1280021
Filename
1280021
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