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This paper presents a transient-based algorithm for high-impedance fault identification on distribution networks. It uses the discrete wavelet transform to monitor high- and low-frequency voltage components at several points of the power system, being able to indicate the most likely area within which the disturbance has occurred, without requiring data synchronization nor the knowledge of feeder...
This paper deals with the application of wavelet based alienation technique for the detection and classification of faults on transmission lines. The three phase current signals of both the ends are synchronized with the help of Global Positioning System clock. These signals are decomposed with Haar wavelet to obtain approximate coefficients over a moving window of half cycle. Approximate Coefficients...
This paper presents the results of investigation into a new fault classification and location, in the EMTP software. The simulated data is then analyzed using advanced signal processing technique based on wavelet analysis to extract useful information from signals and this is then applied to the fuzzy logic system (FLS) for detect of the type and location ground high impedance faults in a practical...
Waveforms of voltages and currents in electrical power systems may include higher harmonics, transient components and random noise due to faults and other disturbances. For the control and protection devices, it is necessary to estimate in real-time parameters of the basic waveforms. Various digital algorithms have been developed for real-time estimation of the phasors of fundamental components. The...
The faults due to leaning trees are common in Nordic Distribution networks. In [1], the detection of this fault type has been discussed and the faulty section has been estimated using a novel selectivity technique. This detection was based on an absolute sum of Discrete Wavelet Transform (DWT) detail coefficients of the residual voltages. The detection selectivity function depended on the transient...
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