The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm

퍼지 집합이론과 유전알고리즘을 이용한 일간 발전기 보수유지계획의 수립

  • Received : 2011.05.12
  • Accepted : 2011.06.08
  • Published : 2011.07.01
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Abstract

The maintenance of generating units is implicitly related with power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm(GA) is proposed for generator maintenance scheduling. The genetic algorithm(GA) is expected to make up for that fuzzy search method might search the local solution. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

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References

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