• DocumentCode
    2391207
  • Title

    Dynamics, criticality and self-organization in a model for blackouts in power transmission systems

  • Author

    Carreras, B.A. ; Lynch, V.E. ; Dobson, I. ; Newman, D.E.

  • Author_Institution
    Oak Ridge Nat. Lab., TN, USA
  • fYear
    2002
  • fDate
    7-10 Jan. 2002
  • Abstract
    A model has been developed to study the global complex dynamics of a series of blackouts in power transmission systems. This model included a simple level of self-organization by incorporating the growth of power demand and the engineering response to system failures. Two types of blackouts have been identified with different dynamical properties. One type of blackout involves loss of load due to lines reaching their load limits but no line outages. The second type of blackout is associated with multiple line outages. The dominance of one type of blackouts versus the other depends on operational conditions and the proximity of the system to one of its two critical points. The first critical point is characterized by operation with lines close to their line limits. The second critical point is characterized by the maximum in the fluctuations of the load demand being near the generator margin capability. The identification of this second critical point is an indication that the increase of the generator capability as a response to the increase of the load demand must be included in the dynamical model to achieve a higher degree of self-organization. When this is done, the model shows a probability distribution of blackout sizes with power tails similar to that observed in real blackout data,from North America.
  • Keywords
    control system analysis; linear programming; power system stability; power transmission control; power transmission faults; probability; North America; critical points; engineering response; generator margin capability; global complex dynamics; loss of load; power demand; power system failures; power transmission system blackouts; probability distribution; self-organization; Context modeling; Laboratories; Physics; Power demand; Power engineering and energy; Power system dynamics; Power system modeling; Power transmission; Probability distribution; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on
  • Print_ISBN
    0-7695-1435-9
  • Type

    conf

  • DOI
    10.1109/HICSS.2002.993976
  • Filename
    993976