• DocumentCode
    3213846
  • Title

    Real-Time Power Electric System Modeling, Assessment and Reliability Prediction

  • Author

    Cheng, Danling ; Liang, Yishan ; Zhu, Dan ; Broadwater, Robert P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA
  • fYear
    2009
  • fDate
    15-18 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Given a large and complex plant to operate, a real-time understanding of the networks and their situational reliability is important to operational decision support. This paper introduces using a unified model to help operators to minimize real-time problems, and also provide a mimic-real time play-back mechanism for system planners on how to upgrade the grid. Real-time simulation architecture is described to identify and predict where problems may occur, how serious they may be, and what is the possible root cause. Multi-views of visualization are plotted for the system area in order to obtain good situational awareness of the scenario.
  • Keywords
    Monte Carlo methods; SCADA systems; power system measurement; power system reliability; mimic-real time play-back mechanism; operational decision support; power electric system assessment; power electric system reliability; real-time power electric system modeling; situational awareness; Algorithm design and analysis; Computer integrated manufacturing; Object oriented modeling; Power system analysis computing; Power system modeling; Power system reliability; Predictive models; Real time systems; Topology; Visualization; Contingency Analysis; Distribution System; Integrated System Model; Monte Carlo simulation; Real-time simulation; Reliability Prediction; Situational Awareness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3810-5
  • Electronic_ISBN
    978-1-4244-3811-2
  • Type

    conf

  • DOI
    10.1109/PSCE.2009.4839950
  • Filename
    4839950