• DocumentCode
    2592381
  • Title

    Maintenance Prioritization of Existing Transmission Lines Using Priority Risk Indices (PRI)

  • Author

    Hathout, Ibrahim

  • Author_Institution
    Hydro One Networks Inc., Toronto, Ont.
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper introduces a new model and the associated computer program for the prioritization existing overhead transmission lines for maintenance or refurbishment. The model calculates the priority risk index (PRI), which is the product of failure probability, line condition function, and failure consequences function. The failure probability of a line is calculated using the maximum capacities of the line components and the actual weather data from the nearest weather station. The line condition is a fuzzy function obtained using visual inspection and maintenance history of the line. The failure consequences are a complex fuzzy function of many parameters such as public safety, load supplied, impact on customers and system etc. This model would allow asset managers to optimize the use of available resources to achieve the maximum overall return on investment by allocating funds for the lines with highest priority risk indexes (PRI). Illustrative example is presented
  • Keywords
    failure analysis; fuzzy logic; maintenance engineering; power overhead lines; power system management; risk management; transmission network calculations; failure probability; fuzzy function; maintenance prioritization; overhead transmission line; priority risk indices; Asset management; Capacity planning; Fuzzy systems; History; Inspection; Power transmission lines; Probability; Resource management; Safety; Transmission lines; Existing transmission lines; condition assessment; failure consequences; failure probability; fuzzy logic; prioritization; risk indices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360327
  • Filename
    4202339