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GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems

Dahal, K.P. and Burt, G.M. and Mcdonald, J.R. and Galloway, S.J. (2002) GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems. In: Proceedings of the 2000 Congress on Evolutionary Computation. IEEE, 567 - 574. ISBN 0-7803-6375-2

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Abstract

Proposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation. The adapted approach uses the probabilistic acceptance criterion of simulated annealing within the genetic algorithm framework. A case study is formulated in this paper as an integer programming problem using a reliability-based objective function and typical problem constraints. The implementation and performance of the solution technique are discussed. The results in this paper demonstrate that the technique is more effective than approaches based solely on genetic algorithms or solely on simulated annealing. It therefore proves to be a valid approach for the solution of generator maintenance scheduling problems

Item type: Book Section
ID code: 35408
Keywords: genetic algorithms , simulated annealing, power system reliability, linear programming , Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 04 Nov 2011 14:48
    Last modified: 09 May 2014 05:22
    URI: http://strathprints.strath.ac.uk/id/eprint/35408

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