• DocumentCode
    3587691
  • Title

    Line outage detection in power transmission networks via message passing algorithms

  • Author

    Jianshu Chen ; Yue Zhao ; Goldsmith, Andrea ; Poor, H. Vincent

  • Author_Institution
    Microsoft Res., Redmond, WA, USA
  • fYear
    2014
  • Firstpage
    350
  • Lastpage
    354
  • Abstract
    Detecting multiple simultaneous line outages in power transmission networks is known to be a challenging problem due to the number of hypotheses that grows exponentially with the network size. A low complexity message passing algorithm is proposed for multi-line outage identification, which exploits the underlying sparse structure of the network topology in power systems. First, a factor graph is established that characterizes jointly the power system and the sensor network monitoring it. For inferring line status, the mixed integer and continuous variables and the loopy structure of the factor graph make it difficult to use conventional message passing algorithms. Exploiting the power flow equations, efficient message representation and new techniques in message passing algorithms are developed. Simulation results demonstrate that the developed algorithm can effectively identify an arbitrary number of simultaneous line outages in real time.
  • Keywords
    fault diagnosis; message passing; network theory (graphs); power transmission faults; power transmission lines; power transmission reliability; continuous variables; efficient message representation; factor graph loopy structure; line outage detection; low complexity message passing algorithm; mixed integer variables; multiline outage identification; power flow equation; power transmission network topology sparse structure; sensor network monitoring; Message passing; Network topology; Noise measurement; Phasor measurement units; Power transmission; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094461
  • Filename
    7094461