• DocumentCode
    603408
  • Title

    Software Implementation of Online Risk Analysis for Regional Grid Power Supply

  • Author

    Li Jing ; Chen Li-Jie ; Jia Yu-Pei ; Luo Ya-Di

  • Author_Institution
    China Electr. Power Res. Inst., Beijing, China
  • fYear
    2013
  • fDate
    6-8 April 2013
  • Firstpage
    853
  • Lastpage
    857
  • Abstract
    The three-dimensional model of failure possibility is established based on operation state of elements, utility theory and probability theory, considering the dispatchers´ operation experience and sensitivity to the weather. Using this model, the risk indices of power system can be simulated and calculated. The online risk analysis software of power supply(RAPS) for regional grid has been developed, using AC-DC hybrid algorithm, by introducing some advanced technology, including parallel computing, dynamic node ordering optimization, matrix inverse optimization, etc. The software can supply dispatchers with real-time decision information.
  • Keywords
    AC-DC power convertors; load dispatching; matrix algebra; optimisation; parallel processing; power engineering computing; power grids; probability; risk analysis; AC-DC hybrid algorithm; RAPS; dispatchers operation; dynamic node ordering optimization; failure possibility; matrix inverse optimization; online risk analysis software of power supply; operation state; parallel computing; power system; probability theory; real-time decision information; regional grid power supply; software implementation; supply dispatchers; three-dimensional model; utility theory; Analytical models; Meteorology; Power systems; Probability; Real-time systems; Risk management; Security; failure possibility model; online; power system; regional grid; risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2013 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4673-5603-9
  • Type

    conf

  • DOI
    10.1109/CSNT.2013.183
  • Filename
    6524526