• DocumentCode
    3146923
  • Title

    Initial evidence for self-organized criticality in electric power system blackouts

  • Author

    Carreras, B.A. ; Newman, D.E. ; Dobson, I. ; Poole, A.B.

  • Author_Institution
    Oak Ridge Nat. Lab., TN, USA
  • fYear
    2000
  • fDate
    4-7 Jan. 2000
  • Abstract
    We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long time correlations and has Hurst exponent near 0.7. Large blackouts tend to correlate with further large blackouts after a long time interval. Similar effects are also observed in many other complex systems exhibiting self-organized criticality. We discuss this initial evidence and possible explanations for self-organized criticality in power systems blackouts. Self-organized criticality, if fully confirmed in power systems, would suggest new approaches to understanding and possibly controlling blackouts.
  • Keywords
    power distribution reliability; self-organised criticality; time series; Hurst exponent; R/S statistics; electric power system blackouts; long time correlations; scaled window variance analysis; self-organized criticality; time series; Analysis of variance; Control systems; Ice; Laboratories; Lightning; Nonlinear dynamical systems; Physics; Power systems; Statistical analysis; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on
  • Print_ISBN
    0-7695-0493-0
  • Type

    conf

  • DOI
    10.1109/HICSS.2000.926768
  • Filename
    926768