Refined genetic algorithm -- Economic dispatch example

Journal Article · Wed Feb 01 00:00:00 EST 1995 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.373934· OSTI ID:49197

Sheble, G B; Brittig, K ^[1]

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1. Iowa State Univ., Ames, IA (United States)

A genetic-based algorithm is used to solve an economic dispatch (ED) problem. The algorithm utilizes payoff information of perspective solutions to evaluate optimality. Thus, the constraints of classical LaGrangian techniques on unit curves are eliminated. Using an economic dispatch problem as a basis for comparison, several different techniques which enhance program efficiency and accuracy, such as mutation prediction, elitism, interval approximation and penalty factors, are explored. Two unique genetic algorithms are also compared. The results are verified for a sample problem using a classical technique.

• OSTI ID: 49197
• Report Number(s): CONF-940110-; ISSN 0885-8950; TRN: IM9523%%20
• Journal Information: IEEE Transactions on Power Systems, Vol. 10, Issue 1; Conference: 1994 Institute of Electrical and Electronic Engineers (IEEE)/Power Engineering Society (PES) winter meeting, New York, NY (United States), 30 Jan - 3 Feb 1994; Other Information: PBD: Feb 1995
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
POWER SYSTEMS
OPERATION
EXPERT SYSTEMS
ARTIFICIAL INTELLIGENCE
OPTIMIZATION