• DocumentCode
    76452
  • Title

    Discrimination of internal fault from magnetising inrush current in power transformers based on sine-wave least-squares curve fitting method

  • Author

    Ahmadi, Mohammad ; Samet, Haidar ; Ghanbari, Teymoor

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
  • Volume
    9
  • Issue
    1
  • fYear
    2015
  • fDate
    1 2015
  • Firstpage
    73
  • Lastpage
    84
  • Abstract
    This study deals with a method for discrimination between magnetising inrush and internal fault currents in three-phase transformers based on sine-wave curve fitting. A sine wave is fitted to the normalised differential current by using the least-squares technique for each phase. The difference between the normalised differential currents and the fitted signals are calculated, which are hereafter named residual signals (RSs). Maximum range of the RSs variations is utilised for the definition of a simple criterion. Based on this criterion, the discrimination is realised within less than a half cycle of power frequency. In order to eliminate the impact of the current transformer (CT) saturation on the performance of the proposed technique, the currents are compensated by a CT saturation compensation algorithm in the first step. The proposed method is evaluated and compared with some well-known methods by a large number of simulation and experimental data. Furthermore, the proposed algorithm is evaluated in the case of a transformer, which is fed through a feeder with series capacitors. The results confirm that reliability, accuracy and speed response of the proposed technique is more than the other methods.
  • Keywords
    curve fitting; fault currents; least squares approximations; power transformer protection; transformer magnetic circuits; current transformer saturation; discrimination method; internal fault currents; least-squares technique; magnetising inrush current; power transformers; residual signals; sine-wave curve fitting; three-phase transformers;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement & Technology, IET
  • Publisher
    iet
  • ISSN
    1751-8822
  • Type

    jour

  • DOI
    10.1049/iet-smt.2014.0012
  • Filename
    7047364