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Generation scheduling using genetic algorithm based hybrid techniques

Dahal, K. and Galloway, S.J. and Burt, G.M. and McDonald, J.R. (2001) Generation scheduling using genetic algorithm based hybrid techniques. In: LESCOPE 01. IEEE, New York, pp. 74-78. ISBN 0780371070

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Abstract

The solution of generation scheduling (GS) problems involves the determination of the unit commitment (UC) and economic dispatch (ED) for each generator in a power system at each time interval in the scheduling period. The solution procedure requires the simultaneous consideration of these two decisions. In recent years researchers have focused much attention on new solution techniques to GS. This paper proposes the application of a variety of genetic algorithm (GA) based approaches and investigates how these techniques may be improved in order to more quickly obtain the optimum or near optimum solution for the GS problem. The results obtained show that the GA-based hybrid approach offers an effective alternative for solving realistic GS problems within a realistic timeframe.

Item type: Book Section
ID code: 36465
Keywords: generation scheduling, genetic algorithm, hybrid techniques, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services Directorate
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 15 Dec 2011 16:21
    Last modified: 06 Sep 2014 07:56
    URI: http://strathprints.strath.ac.uk/id/eprint/36465

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