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Corona Identification of Impulse Voltage and Current

Year 2018, Volume: 18 Issue: 1, 78 - 82, 23.02.2018

Abstract

The corona effect in the
power system has a dominant role in reducing the efficiency of the high-voltage
lines. In this study, the current and voltage impulses, which are important in
corona determination, have been examined in frequecy spectrogram base from test
result. The frequency spectrogram graphs have been obtained from the
current-time and voltage-time variation by Matlab program. With these graphs,
frequency values have been found to provide an important clarification of the
insulation performance of electrical equipment for reliable and accurate
diagnosis. These values have been observed according to different conditions
like pressure, polarity, and insulation ambient. This spectrogram analysis can
be used to find the characteristic frequencies and eliminate the disturbance
effect. The time between corona steps decrease when Sulphur hexafluoride (SF6)
gas pressure is increased. The time of second corona is close to leader's
discharge time. Corona starts early when SF6 amount is decreased in gas
mixtures. The corona currents are large in the low SF6 gas mixtures, this
situation is related to the high insulation of the SF6 gas. A feature which is
dependent the frequency is not found.

References

  • 1. S. A. Boggs, “Partial discharge: overview and signal generation” IEEE Electrical Insulation Magazine, vol.6, no.4, pp. 33-39, 1990. 2. A. Maglaras, T. Kousiouris, F. Topalis, D. Katsaros, L. A. Maglaras, K. Giannakopoulou, “Method of controlling corona effects and breakdown voltage of small air gaps stressed by impulse voltages”. arXiv.org, physics, arXiv: 1410.4189, Cornell University library, 2014. 3. J. Wang, X. Wang, “Lightning Transient Simulation of Transmission Lines Considering the Effects of Frequency Dependent and Impulse Corona” International Conference on Electrical and Control Engineering (ICECE), 2011. 4. H. Okubo, N. Hayakawa, A. Matsushita, “The relationship between partial discharge current pulse waveforms and physical mechanisms” IEEE Electrical Insulation Magazine, vol. 18, no. 3, pp.38-45, 2014. 5. J. Kuffel, P. Kuffel, High voltage engineering fundamentals. Newnes. pp. 348-352, 2000. 6. J. S. Chang, P. A. Lawless, T. Yamamoto, “Corona discharge processes” IEEE Transactions on plasma science, vol. 19, no.6, pp. 1152-1166. 1991. 7. L. Wang, S. Liu, M. Wei, H. Xiao, F. Wang. “Time-frequency analysis of nonlinear and non-stationary weak signals of corona discharge”. Journal of Physics: Conference Series. IOP Publishing, vol. 418, no.1, 2013. 8. L. Zhu, J. Zhu, F. Lü, Y. Liu, Q. Geng, “De-noise of the high frequency corona current with wavelet analysis method” Applied Mechanics and Materials vol. 385, pp. 1394-1397, 2013. 9. M.B. Priestle. “Non-linear arid Non-stationary Time Series Analysis,” Academic Press, New York, 1988. 10. S. Tenbohlen, G. Schroder. The Influence of Surface Charge on Lightning Impulse Breakdown of Spacers in SF6 IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 7, No. 2, April 2000. 11. P. N. Mavroidis, P. N. Mikropoulos, C. A. Stassinopoulos, A. Dodos, P. Zannias, M.B. Priestle. “Discharge Characteristics in short rod-plane gaps with Dielectric-Covered Rod under Lightning Impulse Voltages” 17. International Conference on Gas Discharges and Their Applications, 2008. 12. M. Hasmi, M. Lehtonen, M. Nordman, R. Jabbar, S. Qureshi, “Wavelet based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks” Journal of Electrical Power Energy Systems, 43 pp. 1185-1192, 2012. 13. J. Tang, W. Li, Y. Liu, “Blind source separation of mixed PD signals produced by multiple insulation defects in GIS”, IEEE Transaction on Power Delivery, vol. 25, pp. 170-176, 2010. 14. H. Zhang, T. Blackburn, B. Phung, D. Sen, “A novel wavelet transform technique for on-line partial discharge measurements. 2. On-site noise rejection application”, IEEE Transaction on Dielectrics and Electrical Insulation, 14, pp. 15-22, 2007. 15. D. ZhaoHeng, L. ShangHe, W. Lei, “Selection of the optimal wavelet bases for wavelet de-noising of partial discharge signal”, 2nd International Conference on Signal Processing Systems (ICSPS), vol. 3, pp. 400-404, July 2010. 16. E. Onal, K. Yumak, S. Seker. “The Wavelet-Based Filtering Method as an Alternative to k-Factor Filtering for High-Voltage Impulse Signals” Arabian Journal for Science and Engineering, pp 1-10, November, 2017.
Year 2018, Volume: 18 Issue: 1, 78 - 82, 23.02.2018

Abstract

References

  • 1. S. A. Boggs, “Partial discharge: overview and signal generation” IEEE Electrical Insulation Magazine, vol.6, no.4, pp. 33-39, 1990. 2. A. Maglaras, T. Kousiouris, F. Topalis, D. Katsaros, L. A. Maglaras, K. Giannakopoulou, “Method of controlling corona effects and breakdown voltage of small air gaps stressed by impulse voltages”. arXiv.org, physics, arXiv: 1410.4189, Cornell University library, 2014. 3. J. Wang, X. Wang, “Lightning Transient Simulation of Transmission Lines Considering the Effects of Frequency Dependent and Impulse Corona” International Conference on Electrical and Control Engineering (ICECE), 2011. 4. H. Okubo, N. Hayakawa, A. Matsushita, “The relationship between partial discharge current pulse waveforms and physical mechanisms” IEEE Electrical Insulation Magazine, vol. 18, no. 3, pp.38-45, 2014. 5. J. Kuffel, P. Kuffel, High voltage engineering fundamentals. Newnes. pp. 348-352, 2000. 6. J. S. Chang, P. A. Lawless, T. Yamamoto, “Corona discharge processes” IEEE Transactions on plasma science, vol. 19, no.6, pp. 1152-1166. 1991. 7. L. Wang, S. Liu, M. Wei, H. Xiao, F. Wang. “Time-frequency analysis of nonlinear and non-stationary weak signals of corona discharge”. Journal of Physics: Conference Series. IOP Publishing, vol. 418, no.1, 2013. 8. L. Zhu, J. Zhu, F. Lü, Y. Liu, Q. Geng, “De-noise of the high frequency corona current with wavelet analysis method” Applied Mechanics and Materials vol. 385, pp. 1394-1397, 2013. 9. M.B. Priestle. “Non-linear arid Non-stationary Time Series Analysis,” Academic Press, New York, 1988. 10. S. Tenbohlen, G. Schroder. The Influence of Surface Charge on Lightning Impulse Breakdown of Spacers in SF6 IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 7, No. 2, April 2000. 11. P. N. Mavroidis, P. N. Mikropoulos, C. A. Stassinopoulos, A. Dodos, P. Zannias, M.B. Priestle. “Discharge Characteristics in short rod-plane gaps with Dielectric-Covered Rod under Lightning Impulse Voltages” 17. International Conference on Gas Discharges and Their Applications, 2008. 12. M. Hasmi, M. Lehtonen, M. Nordman, R. Jabbar, S. Qureshi, “Wavelet based de-noising of on-line PD signals captured by Pearson coil in covered-conductor overhead distribution networks” Journal of Electrical Power Energy Systems, 43 pp. 1185-1192, 2012. 13. J. Tang, W. Li, Y. Liu, “Blind source separation of mixed PD signals produced by multiple insulation defects in GIS”, IEEE Transaction on Power Delivery, vol. 25, pp. 170-176, 2010. 14. H. Zhang, T. Blackburn, B. Phung, D. Sen, “A novel wavelet transform technique for on-line partial discharge measurements. 2. On-site noise rejection application”, IEEE Transaction on Dielectrics and Electrical Insulation, 14, pp. 15-22, 2007. 15. D. ZhaoHeng, L. ShangHe, W. Lei, “Selection of the optimal wavelet bases for wavelet de-noising of partial discharge signal”, 2nd International Conference on Signal Processing Systems (ICSPS), vol. 3, pp. 400-404, July 2010. 16. E. Onal, K. Yumak, S. Seker. “The Wavelet-Based Filtering Method as an Alternative to k-Factor Filtering for High-Voltage Impulse Signals” Arabian Journal for Science and Engineering, pp 1-10, November, 2017.
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Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Emel Önal

Publication Date February 23, 2018
Published in Issue Year 2018 Volume: 18 Issue: 1

Cite

APA Önal, E. (2018). Corona Identification of Impulse Voltage and Current. Electrica, 18(1), 78-82.
AMA Önal E. Corona Identification of Impulse Voltage and Current. Electrica. February 2018;18(1):78-82.
Chicago Önal, Emel. “Corona Identification of Impulse Voltage and Current”. Electrica 18, no. 1 (February 2018): 78-82.
EndNote Önal E (February 1, 2018) Corona Identification of Impulse Voltage and Current. Electrica 18 1 78–82.
IEEE E. Önal, “Corona Identification of Impulse Voltage and Current”, Electrica, vol. 18, no. 1, pp. 78–82, 2018.
ISNAD Önal, Emel. “Corona Identification of Impulse Voltage and Current”. Electrica 18/1 (February 2018), 78-82.
JAMA Önal E. Corona Identification of Impulse Voltage and Current. Electrica. 2018;18:78–82.
MLA Önal, Emel. “Corona Identification of Impulse Voltage and Current”. Electrica, vol. 18, no. 1, 2018, pp. 78-82.
Vancouver Önal E. Corona Identification of Impulse Voltage and Current. Electrica. 2018;18(1):78-82.