• 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