• DocumentCode
    2613516
  • Title

    A metric for quantifying the risk of blackout

  • Author

    Savulescu, Savu C.

  • Author_Institution
    Power Syst. Conference & Exposition, NY, USA
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    1661
  • Abstract
    This paper addresses the problem of quantifying the risk of blackout and the need to do it fast, in real-time and for multiple off-line simulations. Is there a metric that can tell how far is a given power system state from its stability limit? But then, what is a stability limit? How to quantitatively describe such limit, or perhaps, limits, if more than one, and how to quickly determine how far is the transmission network from a state where a blackout might occur? The concept of steady-state stability reserve, introduced half a century ago to quantify the distance to instability, is also reviewed. Space and presentation time do not allow a detailed analysis, but an extensive list of references is provided to help promote further research. The main theme of this paper is particularly relevant in the aftermath of the wave of blackouts that affected utilities in US, UK and mainland Europe in 2003. The approach presented herein can help system dispatchers and reliability engineers foresee whether the transmission loading progresses, or is projected to progress, beyond the operating reliability limit.
  • Keywords
    load management; power system stability; power transmission reliability; risk analysis; energy management systems; independent system operators; maximum loadability; multiple off-line simulation; open access transmission; power system stability; reliability; risk analysis; steady-state stability; transmission loading; transmission network; Energy management; Europe; Power engineering and energy; Power system reliability; Power system simulation; Power system stability; Real time systems; Reliability engineering; Steady-state; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2004. IEEE PES
  • Print_ISBN
    0-7803-8718-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2004.1397517
  • Filename
    1397517