Application of Morlet wavelets to supervise power system disturbances

A wavelet transform approach using a Morlet basis function is proposed to supervise power system disturbances in this paper. With the time-frequency localization characteristics embedded in wavelets, the time and frequency information of a waveform can be presented as a visualized scheme. Different from the fast Fourier transform, the wavelet transform approach is more efficient in monitoring various disturbances as time varies. The method has been tested on the detection of various simulated disturbances including voltage sag, voltage swell, momentary interruption and oscillatory transients and on the harmonic analysis of the arc furnace from the field test data. Testing results demonstrated the practicality and advantages of the proposed method for the applications.

[1]  S. Santoso,et al.  Power quality assessment via wavelet transform analysis , 1996 .

[2]  A. Girgis,et al.  A digital recursive measurement scheme for online tracking of power system harmonics , 1991 .

[3]  L. G. Weiss.  Wavelets and wideband correlation processing , 1994, IEEE Signal Processing Magazine.

[4]  John Douglas.  Solving problems of power quality , 1993 .

[5]  A.P.S. Meliopoulos,et al.  Directions of research on electric power quality , 1993 .

[6]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[7]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  D. D. Sabin,et al.  Quality enhances reliability [power supplies] , 1996 .

[9]  M. D. Cox,et al.  Discrete wavelet analysis of power system transients , 1996 .

[10]  Ward Jewell,et al.  Effects of harmonics on equipment , 1993 .

[11]  Gerald T. Heydt,et al.  Transient power quality problems analyzed using wavelets , 1997 .

[12]  S. R. Mendis,et al.  Harmonic and transient overvoltage analyses in arc furnace power systems , 1992 .

[13]  P. Pillay,et al.  Application of wavelets to model short-term power system disturbances , 1996 .

[14]  S. J. Huang,et al.  Application of Gabor transform technique to supervise power system transient harmonics , 1996 .

[15]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[16]  A. A. Girgis,et al.  Measurement of the parameters of slowly time varying high frequency transients , 1989 .