Power system load switching monitoring using wavelet transform based multiresolution signal decomposition

This paper presents a wavelet transform based multiresolution signal decomposition technique for monitoring power system load switching. The proposed method depends on the standard deviations of wavelet coefficients calculated at different resolution levels. Power system signals are decomposed using discrete wavelet transform based filter bank. The simulation results of the study clearly demonstrate that proposed method can efficiently detect and localize power system load switching in time domain. The method can also give information on the magnitude of the load switched and its distance from the observation point.