• DocumentCode
    3236669
  • Title

    Predictive reliability assessment of distribution systems including extreme adverse weather

  • Author

    Billinton, Roy ; Wu, Chenjian

  • Author_Institution
    Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    719
  • Abstract
    The physical environment in which a distribution system resides has a major effect on the resulting reliability of the network. The physical stress placed on system components can be much higher in bad weather than that encountered under normal weather conditions. The conventional approach to incorporate bad weather in the predictive assessment of redundant transmission line facilities is to divide the overall weather conditions into the two states of normal and adverse weather. This paper illustrates the conventional approach to predictive reliability assessment using a two-state weather model and extends these concepts to recognize extremely adverse weather conditions. The resulting three-state weather model is presented and analyzed to illustrate the applicability of the model and the impact of dividing bad weather into the two categories of adverse and major adverse weather
  • Keywords
    meteorology; power distribution lines; power distribution reliability; power overhead lines; adverse weather; bad weather; distribution systems reliability; extreme adverse weather; normal weather conditions; physical stress; predictive reliability assessment; system components; three-state weather model; two-state weather model; Ice; Power system reliability; Power transmission lines; Predictive models; Rain; Storms; Stress; Tornadoes; Weather forecasting; Wind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2001. Canadian Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-6715-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2001.933530
  • Filename
    933530