Investigation on the Applicability of the Time Domain Analysis of Discharges in Gases for the Defect Identification at AC Voltage

Ulrich Lühring, Daniel Wienold, Frank Jenau

Abstract


The partial discharge diagnosis is an established instrument for the condition assessment of high voltage insulations and equipment. Under AC voltage stress the phase resolved pattern is of great significance in order to become aware of the type of fault. As a result of the inapplicability for DC voltage stress, approaches for alternative interpretation techniques such as the time domain analysis of partial discharges were identified in recent investigations. In these different types of fault are taken into account as well as different insulating media. The purpose of this paper is to investigate whether an analysis of the pulse shape is also applicable for the defect identification under AC voltage stress. By focussing on gaseous insulating media, contact noise and surface discharges are emulated in ambient air, whereas corona discharges are emulated in ambient air and oxygen. A method for analysing discharges, occurring in the negative and the positive half-wave of the test voltage, is proposed and discussed.

Keywords


AC voltage; contact noise; corona discharge; pulse shape; surface discharge; time domain analysis

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References


IEC 60270:2000/BS EN 60270:2001 ”High-Voltage Test Techniques – Partial Discharge Measurements”.

D. König and Y. N. Rao, “Partial discharges in electrical power apparatus”, Berlin: VDE-Verlag, 1993.

U. Fromm, “Interpretation of Partial Discharges at dc voltages”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 2, No. 5, October 1995.

P. Morshuis, “Assessment of dielectric degradation by ultrawide-band PD detection”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 2, No. 5, October 1995.

L.B. Loeb, “Electrical coronas – Their basic physical mechanism”, Berkeley and Los Angeles: University of California Press, 1965.

R. Morrow, “Theory of negative corona in oxygen”, Physical Review A Vol. 32, No. 3, September 1985.

D. A. Scott and G. N. Haddad, “Negative point-to-plane corona pulses in oxygen”, Journal of Physics D: Applied Physics 19, 1986.

M. Cernak, T. Hosokawa and I. Odrobina, “Experimental confirmation of positive-streamer-like mechanism for negative corona current pulse rise”, Journal of Physics D: Applied Physics 26, 1993.

X. Liu, S. A. Sebo, D. G. Kasten, D. L. Schweickart and D. F. Grosjean, „Partial discharge sub-atmospheric pressures – Methods of analysis of experimental results“, Annual Report: Conference on Electrical Insulation and Dielectric Phenomena, 2007.

H. Okubo, N. Hayakawa and A. Matsushita, “The relationship between partial discharge current pulse waveforms and physical mechanisms”, IEEE Electrical Insulation Magazine Vol. 18, No. 3, 2002.

H. Okubo and N. Hayakawa, “A novel technique for partial discharge and breakdown investigation based on current pulse waveform analysis”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 12, No. 4, August 2005.

J. M. Wetzer and P. C. T. van der Laan, „Prebreakdown Currents – Basic Interpretation and Time-resolved measurements“, IEEE Transactions on Electrcial Insulation Vol. 24, No. 2, April 1989.

T. Brosche, W. Hiller, E. Fauser and W. Pfeiffer, “Novel Characterization of PD Signals by real-time measurements of pulse parameters”, IEEE Transactions on Dielectrics and Electrical Insulation Vol. 6, No. 1, February 1999.

Z. Zheng and K. Tan, “Comparison of feature extraction methods in partial discharge waveform recognition”, Annual Report: Conference on Electrical Insulation and Dielectric Phenomena, 2001.

X. Li, G. Wu, X. Zhang and S. Bian, „Partial discharge pulse shape detection and analysis under dc condition”, Electrical Insulation Conference and Electrical Manufacturing, October 2007.

Suwarno and T. Mizutani, “Diagnosis of insulation conditions – Interpretation pf partial discharges from Φ-q-n pattern, pulse-sequence and pulse waveform”, International Conference on Condition Monitoring and Diagnosis, Beijing/China, April 2008.

S. Wenrong, L. Junhao, Y. Peng and L. Yanming, “Digital Detection, Grouping and Classifiaction of Partial Discharge Signals at DC Voltage”, IEEE Transaction on Dielectrics and Electrical Insulation Vol. 15, No. 6, December 2008.

T. Klueter, J. Wulff, F. Jenau and D. Wienold, “Evaluation of Surface- and Corona Discharges at DC Voltage“, 13th International Conference on Environment and Electrical Engineering, Wroclaw/Poland, November 2013.

T. Klueter, J. Wulff and F. Jenau, “Time Domain Analysis of Partial Discharges at DC Voltage in Air and Insulation Oil“, 12th International Conference on Environment and Electrical Engineering, Wroclaw/Poland, May 2013.

T. Klueter, J. Wulff and F. Jenau, “Measurement and Statistical Analysis of Partial Discharges at DC Voltage”, 48th International Universities´ Power Engineering Conference UPEC 2013, Dublin/Ireland.

T. Vogt, “Teilentladungsdiagnose bei Gleichspannung”, Dissertation Technische Universität Dortmund, 2015.

M. Kurrat and D. Peier, “Wideband measurement of partial discharges for fundamental diagnostics”, 7th International Symposium on High Voltage Engineering, Dresden/Germany, August 1991.

F. H. Kreuger, “Discharge Detection in High Voltage Equipment“, London: Heywood, 1964.

D. Borneburg, “Bewertung von Hochspannungsisolatoren als Quelle hochfrequenter Störfelder“, Dissertation Universität Dortmund, 2003.

J. M. Chambers, W. S. Cleveland, B. Kleiner and P. A. Tukey, “Graphical Methods for Data Analysis”, Belmont: Wadsworth International Group, 1983.

P. H. F. Morshuis, “Partial discharge mechanisms“, Delft University of Technology, 1993.

A. Schwab, “Über die Anstiegszeiten von Koronaentladungsimpulsen in einer Spitze-Platte Funkenstrecke“, Dissertation Technische Hochschule Karlsruhe, 1963.




DOI: http://dx.doi.org/10.22149/teee.v2i1.57

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