• DocumentCode
    1514847
  • Title

    Wavelet transform solution of multiconductor transmission line transients

  • Author

    Raugi, M.

  • Author_Institution
    Dipt. di Sistemi Elettrici ed Autom., Pisa Univ., Italy
  • Volume
    35
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    1554
  • Lastpage
    1557
  • Abstract
    In this paper a wavelet transform approach is used to solve multiconductor transmission line equations. By using wavelets on the interval, differential and integral operators are represented by sparse matrices. Then the time domain differential equations of multiconductor transmission lines are reduced to algebraic ones. The unknowns of the algebraic system are the coefficients of the wavelet basis functions. Therefore a Fourier-type approach is obtained for transient analysis of transmission lines. The procedure reduces the CPU times with respect to the usual transient analysis obtained by time stepping methods. An initial analysis of the numerical characteristics and performances of the method is carried out considering constant RLCG multiconductor lines
  • Keywords
    Fourier analysis; differential equations; multiconductor transmission lines; sparse matrices; time-domain analysis; transient analysis; transmission line theory; wavelet transforms; Fourier-type approach; algebraic system; constant RLCG multiconductor lines; differential operators; integral operators; interval operators; multiconductor transmission line transients; multiconductor transmission lines; numerical characteristics; sparse matrices; time domain differential equations; time stepping methods; transient analysis; wavelet basis functions; wavelet transform solution; Convolution; Equations; Frequency domain analysis; Multiconductor transmission lines; Performance analysis; Power system transients; Power transmission lines; Sparse matrices; Transient analysis; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.767266
  • Filename
    767266