DocumentCode :
1023685
Title :
Genetic algorithm solution of economic dispatch with valve point loading
Author :
Walters, David C. ; Sheblé, Gerald B.
Author_Institution :
Eastman Chemical Co., Kingsport, TN, USA
Volume :
8
Issue :
3
fYear :
1993
fDate :
8/1/1993 12:00:00 AM
Firstpage :
1325
Lastpage :
1332
Abstract :
A genetics-based algorithm is proposed to solve an economic dispatch problem for valve point discontinuities. The algorithm utilizes payoff information of candidate solutions to evaluate their optimality. Thus, the constraints of classical LaGrangian techniques on unit curves are circumvented. The formulations of an economic dispatch computer program using genetic algorithms are presented and the program´s performances using two different encoding techniques are compared. The results are verified for a sample problem using a dynamic programming technique
Keywords :
genetic algorithms; load dispatching; power system analysis computing; classical LaGrangian techniques; computer program; economic dispatch; genetics-based algorithm; payoff information; valve point discontinuities; valve point loading; Costs; Encoding; Environmental economics; Genetic algorithms; Lagrangian functions; Power generation economics; Power system analysis computing; Power system economics; Power systems; Valves;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.260861
Filename :
260861
Link To Document :
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