• DocumentCode
    1725519
  • Title

    Application of an improved grey algorithm for short-circuit current online prediction in the low-voltage distribution system

  • Author

    Zhao Jing ; Chen Li-an

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Xiamen Univ. of Technol., Xiamen, China
  • fYear
    2011
  • Firstpage
    410
  • Lastpage
    413
  • Abstract
    According to the characteristics of the short-circuit current and its detection in a low-voltage distribution system, an improved variable dimension progression prediction method, which is based on grey power model, is proposed in this paper. The time response function of this model is optimized as well. Moreover, the algorithm is employed to predict the actual short circuit current on line. The simulation results indicate the feasibility and effectiveness of the proposed algorithm.
  • Keywords
    optimisation; power distribution; short-circuit currents; grey power model; improved grey algorithm; low-voltage distribution system; parameter optimization; short-circuit current online; time response function; variable dimension progression prediction method; Computer languages; Mathematical model; Switches; grey power model; online prediction; parameter optimization; short-circuit current; variable dimension progression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044023
  • Filename
    6044023