• DocumentCode
    3481053
  • Title

    Fault location in substations using artificial neural networks

  • Author

    Wanderley, M.A. ; Souza, J.C.S. ; Filho, M. B Do Coutto ; Schilling, M.Th.

  • Author_Institution
    Rio de Janeiro Electr. Co., Rio de Janeiro
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This work presents a methodology for fault location in power substations. The proposed methodology employs artificial neural networks for alarm processing and identification of faulted components. Different approaches using neural networks are proposed, tested and compared. Simulation results using data from a real substation are presented.
  • Keywords
    fault location; neural nets; substations; alarm processing; artificial neural networks; fault location; identification; power substations; Artificial neural networks; Control systems; Fault diagnosis; Fault location; Pattern recognition; Performance evaluation; Power system protection; Power system simulation; Substation protection; Testing; Fault Location; Neural Networks; Pattern Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2005 IEEE Russia
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-5-93208-034-4
  • Electronic_ISBN
    978-5-93208-034-4
  • Type

    conf

  • DOI
    10.1109/PTC.2005.4524383
  • Filename
    4524383
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3481053