Title :
Modeling and protection of a three-phase power transformer using wavelet packet transform
Author :
Saleh, S.A. ; Rahman, M.A.
Author_Institution :
Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
fDate :
4/1/2005 12:00:00 AM
Abstract :
This paper introduces a novel algorithm for differential protection of three-phase power transformers that is based on the wavelet packet transform. The wavelet packet transform is employed to extract certain features of the differential current to distinguish between the magnetizing inrush and different internal fault currents. The selection of the optimal wavelet analysis that includes selecting both the optimal mother wavelet and the optimal number of levels of resolution is carried out using the minimum description length (MDL) data criteria. The proposed algorithm is tested off-line using data collected from a prototype laboratory three-phase power transformer. The test results show reduced computational burden, high speed and high accuracy.
Keywords :
AC machines; feature extraction; power transformer protection; power transformer testing; wavelet transforms; different internal fault currents; differential current; differential protection; magnetizing inrush; minimum description length data criteria; three-phase power transformer; wavelet packet transform; Data mining; Fault currents; Feature extraction; Magnetic analysis; Power transformers; Surge protection; Testing; Wavelet analysis; Wavelet packets; Wavelet transforms; Daubechies wavelet (db4); differential protection; discrete Fourier transform (DFT) and harmonic restraint differential protection; internal faults; magnetizing inrush current; minimum description length data criteria; power transformer; wavelet transforms;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2004.834891