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Generational and steady state genetic algorithms for generator maintenance scheduling problems

By Keshav P. Dahal and J.R. McDonald

Abstract

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

Topics: Maintenance scheduling, Power generators, Electric power systems, Genetic algorithms, Reliability
Year: 1997
OAI identifier: oai:bradscholars.brad.ac.uk:10454/2453
Provided by: Bradford Scholars

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