Fault analysis of advanced series compensated line using S-transform and pattern recognition approach

Abstract

The S-transform (ST) is an extension of wavelet transform which possesses superior property over the latter as the moving functions are fixed with respect to time axis while the localizing scalable Gaussian window dilates and translates. Phase spectrum obtained in this transform is always with respect to fixed reference point and the real and imaginary spectrum can be localized independently. Such a transform with moving and scalable localizing Gaussian window, therefore, provides excellent time localization property for different signals. Utilizing the ST fault current signal is analyzed for an advanced series compensated transmission system. The spectral analysis of the current signals at different fault conditions of the system clearly classifies the faulty phase and faulty section