Analyzing the Relationship Between UHF Partial Discharge Signal Features and Transferred Charge

Document Type : Research Article

Authors

1 Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

2 High Voltage Engineering and Asset Management, Schering-Institute, Leibniz Universität, Hannover, Germany

Abstract

The ultra-high frequency (UHF) technique offers significant advantages over the conventional partial discharge (PD) measurement method, particularly for online monitoring, 3D localization, and immunity against noise. However, its primary limitation lies in the challenge of calibration due to the impact of various factors such as PD source locations, antenna characteristics, and transformer structures including, active part and tank wall, on the received UHF signals. Currently established parameters such as signals peak-to-peak and energy of signals do not provide a meaningful correlation between received UHF signals strength and factors such as distance and antenna radiation pattern. Addressing these gaps, this paper introduces a novel parameter: the first arrived signal (FAS), derived from the short-time Fourier transform (STFT) of UHF signals. Experimental results demonstrated the capability of the FAS to correlate meaningfully between signal strength and distance from the source, as well as antenna radiation pattern and polarization. The proposed parameter is then utilized to estimate conventional transferred charge using the received UHF signals. Results indicate promising estimation accuracy, particularly when electromagnetic waves directly reach the antenna. This approach offers the potential for a more precise estimation of conventional PD transferred charge, enhancing the capabilities of the UHF method in assessing insulation system health conditions.

Keywords

Main Subjects


[1] M. Rahimi, A. Akbari Azirani, P. Werle, Experiences acquired during fault diagnosis of generators of Iran’s hydro power plants by measuring partial discharges, Journal of Iranian Association of Electrical and Electronics Engineers, 18(2) (2021) 35-48.
[2] S. Dhara, C. Koley, S. Chakravorti, A UHF sensor based partial discharge monitoring system for air insulated electrical substations, IEEE Transactions on Power Delivery, 36(6) (2020) 3649-3656.
[3] R. Ghosh, P. Seri, R.E. Hebner, G.C. Montanari, Noise rejection and detection of partial discharges under repetitive impulse supply voltage, IEEE Transactions on Industrial Electronics, 67(5) (2019) 4144-4151.
[4] G.C. Montanari, R. Hebner, P. Morshuis, P. Seri, An approach to insulation condition monitoring and life assessment in emerging electrical environments, IEEE Transactions on Power Delivery, 34(4) (2019) 1357-1364.
[5] P. Mraz, S.A. Madhar, P. Treyer, U. Hammer, Guidelines for PD measurement according to IEC 60270, in:  21st International Symposium on High Voltage Engineering, 2019, pp. 1-6.
[6] H. Mirzaei, A. Akbari, E. Gockenbach, K. Miralikhani, Advancing new techniques for UHF PDdetection and localization in the power transformers in the factory tests, IEEE Transactions on Dielectrics and Electrical Insulation, 22(1) (2015) 448-455.
[7] J.M. Rodríguez-Serna, R. Albarracín-Sánchez, F. Garnacho, F. Álvarez, J. Ortego, Partial discharges measurements for condition monitoring and diagnosis of power transformers: a review, in:  2019 6th International Advanced Research Workshop on Transformers (ARWtr), IEEE, 2019, pp. 83-88.
[8] I.E. Commission, IEC TS 62478:2016 High voltage test techniques - Measurement of partial discharges by electromagnetic and acoustic methods, in, 2016.
[9] N. De Kock, B. Coric, R. Pietsch, UHF PD detection in gas-insulated switchgear-suitability and sensitivity of the UHF method in comparison with the IEC 270 method, IEEE Electrical Insulation Magazine, 12(6) (1996) 20-26.
[10] H.R. Mirzaei, A. Akbari, E. Gockenbach, M. Zanjani, K. Miralikhani, A novel method for ultra-high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm, IEEE Electrical Insulation Magazine, 29(2) (2013) 26-39.
[11] A. Mazhab-Jafari, A. Akbari-Azirani, Power Transformer Winding Modelling Using Multi-Conductor Transmission Line Model for Partial Discharge Localization, Journal of Iranian Association of Electrical and Electronics Engineers, 6(1) (2009) 73-83.
[12] G.P. Cleary, M.D. Judd, UHF and current pulse measurements of partial discharge activity in mineral oil, IEE Proceedings-Science, Measurement and Technology, 153(2) (2006) 47-54.
[13] L. Shuncheng, X. Jiajia, C. Jin, C. Jian, D. Lin, W. Lu, Research on the Calibration Influence Factors of UHF Partial Discharge Detector, in:  2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA), IEEE, 2020, pp. 34-41.
[14] L. Yang, B. Stewart, A. Reid, M. Judd, R. Fouracre, Study on combining UHF techniques with the IEC60270 standard for monitoring partial discharge of HV plant, in:  Int. Symp. on High Volt.. Eng.(ISH), Beijing, China, paper Nr. G-011, 2005.
[15] H. Jahangir, A. Akbari, P. Werle, J. Szczechowski, Possibility of PD calibration on power transformers using UHF probes, IEEE Transactions on Dielectrics and Electrical Insulation, 24(5) (2017) 2968-2976.
[16] Y.R. Yadam, R. Sarathi, K. Arunachalam, Numerical and experimental investigations on influence of internal defect parameters on partial discharge induced UHF signals in gas insulated switchgear, IEEE Access, 10 (2022) 110785-110795.
[17] M. Siegel, M. Beltle, S. Tenbohlen, S. Coenen, Application of UHF sensors for PD measurement at power transformers, IEEE Transactions on dielectrics and Electrical Insulation, 24(1) (2017) 331-339.
[18] M. Siegel, S. Tenbohlen, Design of an Oil-filled GTEM Cell for the Characterization of UHF PD Sensors, in:  Proceedings of the International Conference on Condition Monitoring and Diagnosis (CMD), Jeju, Korea, 2014, pp. 21-25.
[19] M.A. Azirani, P. Werle, A. Akbari, Effect of surroundings of uhf partial discharge probes on the captured pulses in power transformers, in:  2018 IEEE 2nd International Conference on Dielectrics (ICD), IEEE, 2018, pp. 1-5.
[20] V. Javandel, A. Akbari, M. Ardebili, P. Werle, Simulation of Negative and Positive Corona Discharges in Air for Investigation of Electromagnetic Waves Propagation, IEEE Transactions on Plasma Science, 50(9) (2022) 3169-3177.
[21] R.E. Collin, Field theory of guided waves, John Wiley & Sons, 1990.
[22] D.M. Pozar, Microwave engineering, John wiley & sons, 2011.
[23] R.G. Stockwell, L. Mansinha, R. Lowe, Localization of the complex spectrum: the S transform, IEEE transactions on signal processing, 44(4) (1996) 998-1001.
[24] K. Firuzi, M. Vakilian, V. Darabad, B. Phung, T. Blackburn, A novel method for differentiating and clustering multiple partial discharge sources using S transform and bag of words feature, IEEE Transactions on Dielectrics and Electrical Insulation, 24(6) (2017) 3694-3702.
[25] M.A. Azirani, M. Ariannik, P. Werle, A. Akbari, Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique, Measurement, 172 (2021) 108895.
[26] M. Ariannik, M.A. Azirani, P. Werle, A.A. Azirani, UHF measurement in power transformers: An algorithm to optimize accuracy of arrival time detection and PD localization, IEEE Transactions on Power Delivery, 34(4) (2019) 1530-1539.
[27] H. Jahangir, A. Akbari Azirani, P. Werle, Investigation of UHF Probe Performance for Partial Discharge Detection in Power Transformers, Journal of Iranian Association of Electrical and Electronics Engineers, 15(3) (2018) 33-43.
[28] I. Standard, High-voltage test techniques: partial discharge measurements, IEC-60270,  (2000) 13-31.
[29] C.A. Balanis, Antenna theory analysis and design, A JOHN WILEY & SONS, Inc., Publication, 811 (2005).
[30] Omicron UVS 610 Catalogue, in: www.omicronenergy.com.