• DocumentCode
    178786
  • Title

    Power system line outage detection and identification — A quickest change detection approach

  • Author

    Banerjee, Taposh ; Chen, Yu Christine ; Dominguez-Garcia, Alejandro D. ; Veeravalli, Venugopal V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    3450
  • Lastpage
    3454
  • Abstract
    A method to detect and isolate power system transmission line outages in near real-time is proposed. In particular, a linearized power system model is presented and a statistical model for line outage detection and isolation is developed using this model. To detect and isolate the line outage quickly, algorithms based on statistical quickest change detection are employed.
  • Keywords
    power transmission lines; statistical analysis; linearized power system model; power system transmission line outage detection method; power system transmission line outage isolation method; statistical model; statistical quickest change detection approach; Computational modeling; Mathematical model; Network topology; Phasor measurement units; Power transmission lines; Voltage measurement; CuSum; Power systems; line outage detection and identification; quickest change detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854241
  • Filename
    6854241