Generational and Steady-State Genetic Algorithms for Generator Maintenance Scheduling Problems

  • K. P. Dahal
  • J. R. McDonald


The aim of generator maintenance scheduling (GMS) in an electric power system is to allocate a proper maintenance timetable for generators while maintaining a high system reliability, reducing total production cost, extending generator life time etc. In order to solve this complex problem a genetic algorithm technique is proposed here. The paper discusses the implementation of GAs to GMS problems with two approaches: generational and steady state. The results of applying these GAs to a test GMS problem based on a practical power system scenario are presented and analysed. The effect of different GA parameters is also studied.


genetIc algOrIthm Mutation Probability genetIc algOrIthm Approach Genetic Pool Total Production Cost 
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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • K. P. Dahal
    • 1
  • J. R. McDonald
    • 1
  1. 1.Centre for Electrical Power EngineeringUniversity of StrathclydeUK

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