• DocumentCode
    3020433
  • Title

    A Current Transformer Saturation Detection Algorithm for Use in Current Differential Protection

  • Author

    Yang, Li ; Zhao, Jianguo ; Crossley, P.A. ; Li, Kejun

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    3142
  • Lastpage
    3146
  • Abstract
    A current transformer (CT) saturation detection algorithm for use in current differential protection is described. The algorithm evaluates the start and end of each CT saturation period using the "largest modulus series"; this is derived from the third order difference function applied to the secondary current. To reduce the possibility of false detection due to the effect of noise on the third order difference function, the ratios of the absolute values of the CT secondary induced voltage are also used as a criteria to determine when the CT is saturated. A blocking signal is activated when saturation is first detected and is maintained for the duration of the saturation period plus one cycle. Simulation results indicate that the algorithm can significantly enhance the stability of the difference method. The algorithm successfully detects saturation and prevents the maloperation of a current differential protection scheme during high current external faults; whilst ensuring high sensitivity on internal faults.
  • Keywords
    current transformers; fault currents; power system stability; transformer protection; current differential protection; current external faults; current transformer saturation detection algorithm; maloperation prevention; stability; third order difference function; Circuit faults; Current transformers; Detection algorithms; Detectors; Fault currents; Noise; Relays; Current Transformer; current differential protection; saturation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.767
  • Filename
    5631936