• DocumentCode
    78735
  • Title

    Application of Wavelet Transform to Obtain the Frequency Response of a Transformer From Transient Signals—Part 1: Theoretical Analysis

  • Author

    Gomez-Luna, E. ; Aponte Mayor, G. ; Pleite Guerra, Jorge ; Silva Salcedo, Diego Fernando ; Hinestroza Gutierrez, Doris

  • Author_Institution
    Res. Group GRALTA, Univ. del Valle, Cali, Colombia
  • Volume
    28
  • Issue
    3
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    1709
  • Lastpage
    1714
  • Abstract
    This paper introduces a new theoretical method to obtain the frequency-response curve with the transformer in service (online) from the transient signals analysis by applying the continuous wavelet transform. To validate the method, the transient signals were simulated in the Alternative Transient Program for two cases: 1) under injection of pulses over the 60-Hz wave and 2) under switching operations, respectively. To simulate the transformer, a suitable wide-bandwidth model was employed. This study proposes a new setup of the Morlet wavelet, denominated Morlet-Modified, which showed the best results obtained for our application purpose (FRA On-line). This paper is a contribution for signal processing for the online frequency-response analysis technique on transformers.
  • Keywords
    frequency response; power transformers; signal processing; transient analysis; wavelet transforms; Alternative Transient Program; continuous wavelet transform; denominated Morlet-modified wavelet tranform; frequency-response curve; online frequency-response analysis technique; signal processing; transformer simulation; transient signal analysis; wide-bandwidth model; Continuous wavelet transforms; Multiresolution analysis; Power transformers; Transient analysis; Condition monitoring; continuous wavelet transform (CWT); frequency response; power system transients; remote monitoring; theoretical results;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2262058
  • Filename
    6520963