DocumentCode :
3396380
Title :
An analytical method for optimum maintenance of substations
Author :
Ge, Haifeng ; Asgarpoor, Sohrab
Author_Institution :
Dept. of Electr. Eng., Univ. of Nebraska - Lincoln, Lincoln, NE
fYear :
2008
fDate :
21-24 April 2008
Firstpage :
1
Lastpage :
6
Abstract :
An analytical method for determining the optimum maintenance of substations based on stochastic modeling is presented in this paper. The analytical method includes reliability modeling of operation states, and different types of maintenance for individual components, which provides more detail information comparing with traditional modeling. Importance analysis is performed to quantify the reliability contribution of each individual component towards a specific load point, which also gives the priority of a component´s maintenance significance. Moreover, economical analysis is also included in this paper, which calculates the expected benefit that can be achieved for a load point with corresponding maintenance schedule. An application of using the proposed method for evaluating substation maintenance schedule is given. The optimal maintenance schedule and the corresponding expected reliability and benefit are presented in this paper.
Keywords :
maintenance engineering; power system reliability; scheduling; stochastic processes; substations; analytical method; reliability contribution; stochastic modeling; substation maintenance scheduling; Availability; Costs; Information analysis; Job shop scheduling; Maintenance; Performance analysis; Power generation economics; Power system reliability; Stochastic processes; Substations; Semi-Markov Decision Processes; Semi-Markov Processes; Substation Maintenance; equipment availability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-1903-6
Electronic_ISBN :
978-1-4244-1904-3
Type :
conf
DOI :
10.1109/TDC.2008.4517066
Filename :
4517066
Link To Document :
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