DocumentCode :
1540962
Title :
A reliability centered optimal visual inspection model for distribution feeders
Author :
Kuntz, Paul A. ; Christie, Richard D. ; Venkata, Subrahmanyam S.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume :
16
Issue :
4
fYear :
2001
fDate :
10/1/2001 12:00:00 AM
Firstpage :
718
Lastpage :
723
Abstract :
For an electric power distribution system, highly reliable operation is important for maintaining customer satisfaction. To maintain high levels of system reliability, inspection is used to identify potential problems, allowing necessary maintenance actions to be taken before failure occurs. The question is then how much inspection is required to maintain high reliability levels. This paper describes a Markov model of the inspection process. The model finds the optimal inspection frequency by considering the tradeoff between the cost of inspection and the cost of poor reliability. An objective function is formulated that minimizes the total cost of inspection, repair, and reliability. This model has been specifically created for determining the optimal visual inspection frequency for distribution feeder rights-of-way. The results from applying this model to a practical distribution system are presented, and extensions of this model to other systems are discussed
Keywords :
Markov processes; condition monitoring; inspection; maintenance engineering; power distribution reliability; Markov model; condition monitoring; customer satisfaction; distribution feeder rights-of-way; distribution feeders; electric power distribution system; high reliability levels; inspection process; inspection scheduling; maintenance actions; predictive maintenance; reliability; reliability centered optimal visual inspection model; total cost minimisation; vegetation maintenance; Cost function; Delay; Frequency; Inspection; Maintenance; Pollution measurement; Power system modeling; Power system reliability; Predictive models; Vegetation;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.956761
Filename :
956761
Link To Document :
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