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
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;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1280021