• DocumentCode
    3639248
  • Title

    Arcing fault detection based on Adaline for Single-Pole Autorecloser

  • Author

    Özgür Karacasu;M. Hakan Hocaoğlu

  • Author_Institution
    Elektronik Mü
  • fYear
    2010
  • Firstpage
    852
  • Lastpage
    855
  • Abstract
    More than 80% of all system faults occur on the power systems are single phase to ground type faults and large majority of these faults are of a transient nature. For ensuring reliability of electricity transmission system, Single Pole Autoreclosers play an important role. However, conventional Single Pole Autoreclosers has no intelligent decision making tool for identification of fault type. In this study, Adaline based fault type identification method is proposed. The proposed algorithm is, also, able to identify secondary arc extinction time. Effectiveness of the proposed method is evaluated via using real data taken from an actual power system.
  • Keywords
    "Adaptive systems","Artificial neural networks","Power transmission lines","Transient analysis","Art","Power quality"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
  • ISSN
    2165-0608
  • Print_ISBN
    978-1-4244-9672-3
  • Type

    conf

  • DOI
    10.1109/SIU.2010.5653236
  • Filename
    5653236