Title :
Generators maintenance scheduling using combined fuzzy set theory and GA
Author :
Taegon Oh ; Jintaek Lim ; Jaeseok Choi ; Junmin Cha ; Bonhui Ku ; Ungki Baek
Author_Institution :
Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
Abstract :
The maintenance of generating units is implicitly related to 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 effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.
Keywords :
fuzzy set theory; genetic algorithms; maintenance engineering; power generation reliability; power generation scheduling; power system management; GA; GMS; fuzzy multicriteria function; fuzzy search method; fuzzy set theory; generating units; generators maintenance scheduling; genetic algorithm; multiobjective function; power system reliability; practical size test systems; Generators; Next generation networking; Planning; Reliability;
Conference_Titel :
Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-61284-856-3
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2011.6026447
