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Comparison of On-line Partial Discharge Detection Methods for HV Cable Joints

Comparison of On-line Partial Discharge Detection Methods for HV Cable Joints
Comparison of On-line Partial Discharge Detection Methods for HV Cable Joints
The capacitive coupler, acoustic emission (AE) sensor and radio frequency current transducer (RFCT) have been used to detect partial discharge (PD) activity within a 132kV prefabricated cable joint containing a known defect. Although each of the three methods has been applied individually under different situations, a comprehensive investigation and comparison of these three methods has not yet been made. Results obtained were compared to measurements made using the conventional electrical detection method. The quantification of the capacitive coupler measured signal in mV with a discharge apparent quantity in pC has been investigated an an on-line quantification method proposed. The capacitive coupler has good detection sensitivity and PD location can be realised by studying the time of flight between signals from two sensors. The difference in pulse shape, spectrum and time of flight between an internal discharge and external interference has been investigated. The AE approach has the advantage of being free from electrical interference. However, AE signals were significantly attenuated within the cable joint. RFCTs were used to detect the discharge current flowing through the cable sheath. Where the detection sensitivity was low, a wavelet de-noising method was applied to process the RFCT signals and proved to be effective in increasing the measurement signal to noise ratio.
1070-9878
604-615
Tian, Y.
2055a72a-f579-48b9-a0e6-d59b0682bbd2
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Davies, A.E.
56d95222-b259-494a-92e9-68b090ec0dcd
Swingler, S.G.
f9fbe599-7685-46e8-9f11-55cbd40e2933
Sutton, S.J.
571c7136-1eb6-44e1-8979-ca0829469a6b
Hathaway, G.M.
dd39941d-ca8e-4cfb-b329-e569de8ea425
Tian, Y.
2055a72a-f579-48b9-a0e6-d59b0682bbd2
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Davies, A.E.
56d95222-b259-494a-92e9-68b090ec0dcd
Swingler, S.G.
f9fbe599-7685-46e8-9f11-55cbd40e2933
Sutton, S.J.
571c7136-1eb6-44e1-8979-ca0829469a6b
Hathaway, G.M.
dd39941d-ca8e-4cfb-b329-e569de8ea425

Tian, Y., Lewin, P.L., Davies, A.E., Swingler, S.G., Sutton, S.J. and Hathaway, G.M. (2002) Comparison of On-line Partial Discharge Detection Methods for HV Cable Joints. IEEE Transactions on Dielectrics & Electrical Insulation, 9 (4), 604-615.

Record type: Article

Abstract

The capacitive coupler, acoustic emission (AE) sensor and radio frequency current transducer (RFCT) have been used to detect partial discharge (PD) activity within a 132kV prefabricated cable joint containing a known defect. Although each of the three methods has been applied individually under different situations, a comprehensive investigation and comparison of these three methods has not yet been made. Results obtained were compared to measurements made using the conventional electrical detection method. The quantification of the capacitive coupler measured signal in mV with a discharge apparent quantity in pC has been investigated an an on-line quantification method proposed. The capacitive coupler has good detection sensitivity and PD location can be realised by studying the time of flight between signals from two sensors. The difference in pulse shape, spectrum and time of flight between an internal discharge and external interference has been investigated. The AE approach has the advantage of being free from electrical interference. However, AE signals were significantly attenuated within the cable joint. RFCTs were used to detect the discharge current flowing through the cable sheath. Where the detection sensitivity was low, a wavelet de-noising method was applied to process the RFCT signals and proved to be effective in increasing the measurement signal to noise ratio.

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Published date: August 2002
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 256723
URI: http://eprints.soton.ac.uk/id/eprint/256723
ISSN: 1070-9878
PURE UUID: 14a6a754-c4ea-485d-add0-fff325157cd3

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Date deposited: 04 Mar 2004
Last modified: 20 Nov 2021 05:20

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Contributors

Author: Y. Tian
Author: P.L. Lewin
Author: A.E. Davies
Author: S.G. Swingler
Author: S.J. Sutton
Author: G.M. Hathaway

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