• DocumentCode
    3362241
  • Title

    The Research UL-P of Loss-of-Excitation Protection for Generator Based on the Artificial Neural Networks

  • Author

    Fan Bo ; Li Xiaoquan ; Xue Peng ; Liu Junjie

  • Author_Institution
    missile Inst., Air Force Eng. Univ., Sanyuan
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Simulated model of loss-of-excitation protection for generator is established in Matlab, and then taking advantage of BP neural networks which are most advantageous in recognizing patterns, the operation zone of the active power rotor criterion for loss-of-excitation protecting of generator is recognized. Comparing with conventional microcomputer protection using linear approximation, the result shows that the method of BP neural networks is accurate and superior.
  • Keywords
    artificial intelligence; electric machine analysis computing; mathematics computing; neural nets; power system protection; synchronous generators; Matlab; artificial neural networks; generator protection; linear approximation; microcomputer protection; synchronous generator; Artificial neural networks; Circuit faults; Circuit simulation; Mathematical model; Packaging; Power generation; Power system modeling; Power system protection; Power system simulation; Rotors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918910
  • Filename
    4918910