• DocumentCode
    853088
  • Title

    A reliability-based approach to transmission maintenance planning and its application in BC hydro system

  • Author

    Li, Wenyuan ; Korczynski, Jerry

  • Author_Institution
    Syst. Performance Assessment Div., British Columbia Transmission Corp., Vancouver, BC, Canada
  • Volume
    19
  • Issue
    1
  • fYear
    2004
  • Firstpage
    303
  • Lastpage
    308
  • Abstract
    This paper presents a reliability-based method for transmission maintenance planning. A quantified impact assessment of the planned outage on operation reliability of the whole transmission system is a main feature of the proposed method. This reliability centered maintenance (RCM) approach for transmission systems provides not only the lowest risk maintenance schedule but also the most reliable operation mode for the planned outage. Another feature of the method is ease of incorporation into the existing traditional transmission maintenance procedure. A time-shift-based Monte Carlo simulation technique and a linear programming optimization model are used to perform reliability evaluation of the transmission system with planned outage(s). An example for the planned replacement of a 230-kV cable in the BC Hydro North Metro system has been given to demonstrate a practical application of the proposed procedure and the method.
  • Keywords
    Monte Carlo methods; hydroelectric power stations; linear programming; maintenance engineering; power transmission planning; power transmission reliability; 230 kV; BC Hydro North Metro system; linear programming optimization model; operation reliability; reality-based approach; reliability centered maintenance; time-shift based Monte Carlo simulation; transmission maintenance planning; Costs; Helium; Linear programming; Maintenance; Performance evaluation; Power cables; Power system planning; Power system reliability; Scheduling; Transient analysis;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2003.820183
  • Filename
    1256392