Can someone please specify a good tutorial, paper or presentation specifying the application of wavelet analysis for the identification of LG faults in the transmission lines using Matlab or any other software.
A technique to detect the location of the different faults on a transmission lines for quick and reliable operation of protection schemes. The simulation is developed in MATLAB to generate the fundamental component of the transient voltage and current simultaneously both in time and frequency domain. One cycle of waveform, covering pre-fault and post-fault information is abstracted for analysis. The discrete wavelet transform (DWT) is used for data preprocessing. It is applied for decomposition of fault transients, because of its ability to extract information from the transient signal, simultaneously both in time and frequency domain. MATLAB software is used to simulate different operating and fault conditions on high voltage transmission line, namely single phase to ground fault, line to line fault, double line to ground and three phase short circuit. The application of the wavelet transform to estimate the fault location on transmission line has been investigated. The ability of wavelets to decompose the signal into frequency bands in both time and frequency allows accurate fault detection. The most suitable wavelet family has been made to identify for use in estimating the fault location on transmission line. Simulation of single line to ground fault (S-L-G) for 735kv, 300km transmission line was performed using SIMULINK MATLAB SOFTWARE. The waveforms obtained from SIMULINK have been converted as a MATLAB file for feature extraction. DWT has been used to analyze the signal to obtain the coefficients for estimating the fault location
Hello Muhammad,
This paper, although a bit older, presents a clear understanding of how the discrete wavelet transform is used to investigate the different frequency levels of voltage and current waveforms of (faulty) transmission lines and how to detect faults based on the signal energy spectra:
https://ieeexplore.ieee.org/document/5947979
This paper presents somewhat of the same framework, but is more recent:
https://ieeexplore.ieee.org/document/8748671
Both papers use the discrete wavelet transform, which has multiple implementations in MATLAB, but for your applications I would recommend:
https://nl.mathworks.com/help/wavelet/ref/wavedec.html
If you would like to learn more about wavelets you can play around and try the tutorials in MATLAB's wavelet toolbox:
https://nl.mathworks.com/products/wavelet.html
I hope this helps!
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