Title :
Identification of partial discharge locations in transformer winding using PSD estimation
Author :
Eldery, M.A. ; Abdel-Galil, T.K. ; El-Saadany, E.F. ; Salama, M.M.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Ont., Canada
fDate :
4/1/2006 12:00:00 AM
Abstract :
This letter presents a new technique to identify partial discharge locations in transformer winding using electrical measurements. Useful features, which pinpoint the locations of partial discharges, are extracted from the periodogram of the secondary voltage of the transformer. These features are manipulated by a distance classifier to determine the locations of the partial discharges. Simulation results proof that the proposed method is efficient and can handle effectively transformer parameters deviations due to aging.
Keywords :
partial discharges; power transmission faults; transformer windings; distance classifier; electrical measurements; partial discharge location identification; periodogram extraction; power spectral density; transformer parameter deviations; transformer secondary voltage; transformer winding; Acoustic sensors; Acoustic signal detection; Costs; Frequency; Mechanical sensors; Partial discharges; Power transformer insulation; Power transformers; Voltage; Windings; Partial discharge; periodogram; power spectral density; power transformer;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2005.864067