• DocumentCode
    634620
  • Title

    WiP abstract: Possibility of power system blackout prediction

  • Author

    Bei Gou ; Weibiao Wu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    243
  • Lastpage
    243
  • Abstract
    It is the first time that a statistical law of blackouts is derived from the modeling of blackout mechanism proposed in this letter. An approach is therefore proposed to predict the blackouts for complex systems. Prediction of blackouts for complex networks provides an important reliability index for secure and reliable operations of the networks. The density function of blackouts proposed in this letter gives the possibility of sensitivity analysis of related parameters to the occurrence of blackouts.
  • Keywords
    load forecasting; power supply quality; power system reliability; WiP abstract; blackout density function; complex networks; network reliable operation; network secure operation; power system blackout prediction; reliability index; sensitivity analysis; Complex networks; Educational institutions; Power system faults; Power system protection; Power system reliability; Power system stability; Probability distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • Filename
    6604022