Title :
Customized wavelets for fault location in power systems
Author :
Argyropoulos, P.E. ; Lev-Ari, Hanoch
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
A procedure for generating customized wavelets for detecting the location of a fault in a power transmission line is proposed. A typical fault waveform consists of a 60Hz component and multiple reflections of a short transient. Measuring the time-difference-of-arrival (TDOA) between two consecutive transient reflections provides an accurate estimate of the location of the fault. Highly accurate TDOA estimates can be obtained only when the processed fault waveform consists of short/peaked pulses. Our customization procedure enhances the "peakedness" of the transient waveform by optimizing a suitable peakedness metric. This approach yields more accurate estimates than the method used in [1], which used a standard (Daubechies-4) wavelet to process the fault waveform. Our analysis also provides us with some insight as to why a discrete wavelet transform (including the one used in [1]) can significantly enhance the peakedness of a wide variety of power system fault waveforms.
Keywords :
discrete wavelet transforms; power transmission faults; power transmission lines; time-of-arrival estimation; TDOA measurement; customized wavelets; discrete wavelet transform; fault location detection; fault waveform; frequency 60 Hz; power system fault waveforms; power transmission line; processed fault waveform; time-difference-of-arrival measurement; transient waveform; Cost function; Filter banks; Lattices; Transient analysis; Wavelet transforms; Customized Wavelets; Fault Location; Power System Faults; Waveform Peakedness; Waveform Sharpness;
Conference_Titel :
North American Power Symposium (NAPS), 2011
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-0417-8
Electronic_ISBN :
978-1-4577-0418-5
DOI :
10.1109/NAPS.2011.6024881
