Work

Generators Maintenance Scheduling Using Combined Fuzzy Set Theory and GA

Year: 2011
Type: article
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.
Authors: Taegon Oh, Jeongje Park, Kyeonghee Cho, Jaeseok Choi, Ungki Baek, A.A. El-Keib
Language: English
Open Access status: bronze
OpenAlex ID: W2129090091
FWCI: 0.854
Cites: 5
Cited by: 7
Related to: 10