alexa Application of Morlet wavelets to supervise power system disturbances


Journal of Applied & Computational Mathematics

Author(s): ShyhJier Huang, ChengTao Hsieh, ChingLien Huang

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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.

This article was published in IEEE Transactions on Power Delivery and referenced in Journal of Applied & Computational Mathematics

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