Combined wavelet transform and regression technique for secondary current compensation of current transformers

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Abstract

A technique is proposed to effectively and efficiently compensate for secondary current of current transformers, particularly in the presence of remanent flux. The technique first utilises the wavelet transform to accurately distinguish the distorted section from the healthy section of a secondary current waveform. Secondly the technique uses the regression method to recover the distorted section making use of features extracted from the healthy section, essentially to restore the secondary current to a scaled down replica of the primary system current. The proposed technique is demonstrated on a sample power system, achieving an average compensation error of 1.5% under varying degrees of saturation caused by different levels of remanent flux
Original languageEnglish
Pages (from-to)497-503
Number of pages7
JournalGeneration, Transmission and Distribution, IEE Proceedings-
Volume149
Issue number4
Publication statusPublished - 2002

Keywords

  • wavelet transforms
  • magnetic flux
  • primary system current
  • statistical analysis
  • regression method
  • combined wavelet transform
  • regression technique
  • compensation error
  • compensation
  • current transformers
  • secondary current compensation
  • secondary current waveform
  • remanent flux

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