A new fuzzy based approach for thermal units maintenance scheduling

Author

Tabari, Nima Mohammadi ; Hassanpour, Bahareh ; Daneshi, Hossein ; Sirjani, Reza

Author_Institution

Islamic Azad Univ., Tehran, Iran

fYear

2010

fDate

Aug. 31 2010-Sept. 3 2010

Firstpage

1

Lastpage

6

Abstract

This paper presents a Fuzzy Dynamic Programming (FDP) methodology for finding the best preventive maintenance schedule of generating units in a centralized power system. If there is not any feasible solution for crisp model, the Fuzzy model could be a help for finding the best schedule with minimum violation. Objective function is to maintain units as earlier as possible to improve reliability, save maintenance expense of damaged machines. Various constraints such as spinning reserve, duration of maintenance and maintenance crew are being taken into account. In a case study, introducing a centralized power system with six generating units, and implying FDP, the solution will be obtained.

Keywords

dynamic programming; fuzzy set theory; power generation reliability; power generation scheduling; preventive maintenance; thermal power stations; FDP; centralized power system; fuzzy based approach; fuzzy dynamic programming methodology; fuzzy model; maintenance crew; maintenance expense; preventive maintenance schedule; thermal units maintenance scheduling; Predictive models; Fuzzy Dynamic Programming; centralized power system; maintenance scheduling; optimization; power system planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference (UPEC), 2010 45th International

Conference_Location

Cardiff, Wales

Print_ISBN

978-1-4244-7667-1

Type

conf

Filename

5649215