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퍼지 집합이론과 유전알고리즘을 이용한 일간 발전기 보수유지계획의 수립A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm

Other Titles
A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm
Authors
오태곤최재석벡웅기
Issue Date
2011
Publisher
대한전기학회
Keywords
Generator maintenance scheduling; Probabilistic reliability and production cost simulation; Fuzzy search method; Genetic algorithm
Citation
전기학회논문지, v.60, no.7, pp 1314 - 1323
Pages
10
Indexed
SCOPUS
KCI
Journal Title
전기학회논문지
Volume
60
Number
7
Start Page
1314
End Page
1323
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/24347
ISSN
1975-8359
2287-4364
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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공과대학 > 전기공학과 > Journal Articles

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