• DocumentCode
    2087824
  • Title

    Ultra-Real time Short Circuit Current Computing Based on Ultra-Short term Load Forecasting

  • Author

    Pan, Rui ; Liu, Junyong ; Wang, Minkun ; Liu, Ying ; Hou, Hefei

  • Author_Institution
    Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    On account of the need of real-time monitor and alarm in smart grid, a new approach to ultra-real time intelligent computation of short circuit current is proposed. The extrapolation of grid state is conducted by ultra-short term load forecasting of nodes, and a short circuit current identification method based on GRNN is adopted to conduct the scan the short circuit current level of buses in short period time about whole grid, by which the intelligent identification is implemented. The approach provides a new idea for the application of fast simulation modeling (FSM) in ultra-real time intelligent monitor, and the technical support to aid in decision (AID) making of intelligent dispatch. The feasibility and validity of this approach is verified by the test on IEEE30 system.
  • Keywords
    extrapolation; load forecasting; neural nets; power engineering computing; power system faults; regression analysis; smart power grids; GRNN; IEEE30 system; fast simulation modeling; general regression neural network; grid state extrapolation; short circuit current identification method; smart grid; ultra-real time short circuit current computing; ultra-short term load forecasting; Circuit faults; Grid computing; Load forecasting; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Quantum computing; Short circuit currents; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448219
  • Filename
    5448219