| Title |
A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm |
| Authors |
오태곤(Oh, Tae-Gon) ; 최재석(Choi, Jae-Seok) ; 백웅기(Baek, Ung-Ki) |
| DOI |
https://doi.org/10.5370/KIEE.2011.60.7.1314 |
| Keywords |
Generator maintenance scheduling ; Probabilistic reliability and production cost simulation ; Fuzzy search method ; Genetic algorithm |
| 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. |