Application of Morlet wavelets to supervise power system disturbances

Author

Huang, Shyh-Jier ; Hsieh, Cheng-Tao ; Huang, Ching-Lien

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

14

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

235

Lastpage

243

Abstract

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

Keywords

fault diagnosis; monitoring; power system faults; power system measurement; time-frequency analysis; wavelet transforms; Morlet wavelets; arc furnace; disturbance detection; fault monitoring; harmonic analysis; momentary interruption; oscillatory transients; power system disturbances; time-frequency localization characteristics; voltage sag; voltage swell; wavelet transform approach; Analytical models; Fast Fourier transforms; Monitoring; Power systems; Testing; Time frequency analysis; Visualization; Voltage fluctuations; Voltage-controlled oscillators; Wavelet transforms;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.736728

Filename

736728