Logo image
A measurements-based discharge location algorithm for plain disc winding power transformers
Journal article   Open access   Peer reviewed

A measurements-based discharge location algorithm for plain disc winding power transformers

Z.D. Wang, S.N. Hettiwatte and P.A. Crossley
IEEE Transactions on Dielectrics and Electrical Insulation, Vol.12(3), pp.416-422
2005
pdf
measurements-based_discharge_location_algorithm.pdfDownloadView
Published (Version of Record) Open Access
url
Link to Published Version *Subscription may be requiredView

Abstract

A measurements-based electrical method for locating partial discharges (PD) in transformers is described in the paper. This location method relies on the series resonance frequencies of the signals produced at the transformer terminals by a discharge on the winding. Based on the equivalent circuit of plain disc type winding which consists of series inductance (L), series capacitance (K) and shunt capacitance to earth (C) of the winding, an analytical location algorithm is derived which gives the relationship between the location of a discharge and its terminal response's series resonance frequencies. LKC parameters of the equivalent circuit can be estimated using the series resonance frequencies of a calibration signal measured at the bushing tap during PD calibration. The PD location algorithm was tested on 11 kV transformer winding using signals produced by a discharge simulator and real discharges, and the results confirm its validity with a location accuracy of better than 10% of the winding length. However, blind area where this location algorithm is not applicable does exist near the neutral of the winding and far away from the measuring terminal. Since this location algorithm uses the series resonance frequencies below 500 kHz, it can be implemented with conventional PD measuring circuitry and instruments to detect and locate discharges in power transformers.

Details

Metrics

266 File views/ downloads
141 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
7 Engineering & Materials Science
7.251 Electrical - Harvesting & Discharging
7.251.1052 Partial Discharge
Web Of Science research areas
Engineering, Electrical & Electronic
Physics, Applied
ESI research areas
Engineering
Logo image