• DocumentCode
    821774
  • Title

    Value of security: modeling time-dependent phenomena and weather conditions

  • Author

    Rios, Mario A. ; Kirschen, Daniel S. ; Jayaweera, Dilan ; Nedic, Dusko P. ; Allan, Ron N.

  • Author_Institution
    Univ. of Manchester Inst. of Sci. & Technol., UK
  • Volume
    17
  • Issue
    3
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    543
  • Lastpage
    548
  • Abstract
    Deterministic security criteria provide a degree of security that may be insufficient under some operating conditions and excessive for others. To determine an appropriate level of security, one should perform a probabilistic cost/benefit analysis that balances the cost of the security margin against its benefits, i.e., the expected societal cost of the avoided outages. This paper shows how a previously published method based on Monte Carlo simulation can be enhanced to take into account time-dependent phenomena (TDP) such as cascade tripping of elements due to overloads, malfunction of the protection system, and potential power system instabilities. In addition, the importance of using failure rates that reflect the weather conditions is discussed. Studies based on the South-Western part of the transmission network of England and Wales demonstrate the validity of the models that have been developed.
  • Keywords
    Monte Carlo methods; cost-benefit analysis; meteorology; power system economics; power system protection; power system security; power system stability; probability; Monte Carlo simulation; avoided outages; cascade tripping; deterministic security criteria; expected societal cost; failure rates; overloads; potential power system instabilities; probabilistic cost benefit analysis; protection system malfunction; security margin; time-dependent phenomena; weather conditions; Cost benefit analysis; Lead; Performance analysis; Power system analysis computing; Power system modeling; Power system planning; Power system protection; Power system security; Power system simulation; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.800872
  • Filename
    1033691