• DocumentCode
    2369919
  • Title

    An ANN-impedance-based fault detection technique in T-Connection transmission overhead lines

  • Author

    Abniki, Hassan ; Nateghi, Saeed ; Razavi, Mohammad Nabavi

  • Author_Institution
    ECE Sch., Univ. of Tehran, Tehran, Iran
  • fYear
    2012
  • fDate
    18-25 May 2012
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    The aim of this paper is to present an impedance-based technique in order to fault detection in transmission overhead lines. When a fault happens in a power system, fast and reliable fault detection methods are not only desirable but also necessary. In this paper, an impedance-based fault detection technique is presented which applied in ANN. In this regard, using the zero sequence impedance values trained by feed-forward back propagation technique, the layer of presented ANN will be trained and after that a fast and accurate fault detection technique is provided. Extended simulations are developed using EMTDC software and the results proved the appropriate performance of the proposed technique in all conditions.
  • Keywords
    EMTP; fault diagnosis; neural nets; power engineering computing; power overhead lines; power transmission faults; ANN impedance based fault detection technique; EMTDC software; T-connection transmission overhead lines; artificial neural networks; feed forward back propagation technique; zero sequence impedance value; Artificial neural networks; Conductors; Impedance; Mathematical model; Power transmission lines; Training; ANN; Zero-sequqnce impedance; fault detection; transmission line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4577-1830-4
  • Type

    conf

  • DOI
    10.1109/EEEIC.2012.6221582
  • Filename
    6221582