• DocumentCode
    2157342
  • Title

    ANN based technique for enhancement of distance relay performance against open-conductor in HV transmission lines

  • Author

    Gilany, M. ; Al-Kandari, Ahmed ; Hassan, Bahaa

  • Author_Institution
    Dept. of Electr. Eng., Coll. of Technol. Studies, Al-Shaa´´b, Kuwait
  • Volume
    5
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    50
  • Lastpage
    54
  • Abstract
    This paper presents a novel ANN based technique for improving the performance of distance relays against open circuit faults in transmission networks. The results obtained show that a distance relay with the proposed scheme will not only be able to detect the open conductor condition in HVTL but also to locate the place of this fault regardless the value of the pre-fault current loading. Detailed mathematical formulation of the proposed technique is presented. The ANN used in the proposed scheme doesn´t impose large time delay to the operation time of the distance relay as it is of simple configuration and trained off-line. There is no need for especial communication schemes as the existing media could work properly for the needs of the proposed technique.
  • Keywords
    artificial intelligence; conductors (electric); fault location; neural nets; power engineering computing; power transmission faults; power transmission lines; relay protection; ANN based technique; HV transmission lines; artificial neural network; distance relay enhancement; fault location; open circuit faults; open conductor; transmission networks; Circuit faults; Conductors; Delay effects; Earth; Electrical fault detection; Power transmission lines; Protection; Protective relaying; Transmission lines; Voltage; ANN; Distance relay; Open conductor; Transmission networks; fault location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451527
  • Filename
    5451527