Open Access Open Access  Restricted Access Subscription or Fee Access

Studying Partial Discharge Currents of High Voltage Power Line Suspension Insulators


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecon.v10i3.21769

Abstract


The article presents the results of theoretical and experimental studies of one of the leakage current components. The nature of this component is determined by the action of partial discharges of suspension insulators of high-voltage power lines. A laboratory bench has been made for carrying out experimental studies. As a result, oscillograms of current and voltage across the insulator have been obtained. A replacement circuit for the processes of partial discharge currents flowing on the surface of an insulator has been developed. Based on the equivalent circuit, a simulation model has been developed in the MATLAB program. By comparing the results of the bench and simulation experiments, the adequacy of the simulation model has been evaluated. A spectral analysis of the characteristics of partial discharge pulses has been carried out. Spectral characteristics allow determining the required operating frequency range of the leakage current sensor.
Copyright © 2022 Praise Worthy Prize - All rights reserved.

Keywords


Partial Discharges; Leakage Current; Electricity Losses; Suspension Insulators; High Voltage Overhead Power Lines; Modeling; MATLAB Simulink

Full Text:

PDF


References


Breido, I.; Kaverin, V.; Abisheva, D.; Kolychev, A. Monitoring leakage currents of suspension insulators of high voltage overhead power lines. International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2019); E3S Web of Conferences 140, 05010 (2019); Volume 140, pp. 1-5.
https://doi.org/10.1051/e3sconf/201914005010

IEC60270. High-voltage test techniques-partial discharge measurements; 2000.

N.A. Othman, M.A.M. Piah, Z. Adzis, and Nasir A. Al-geelani Partial Discharge Characterization based on Leakage Current Pulses Waveform for Contaminated Glass Insulator String. International Journal of Electrical and Computer Engineering (IJECE) Vol. 6, No. 2, April 2016, pp. 835-843.
https://doi.org/10.11591/ijece.v6i2.pp835-843

Saliha Abdul Madhara , Petr Mrazb, Armando Rodrigo Mora, Rob Rossa Empirical analysis of partial discharge data and innovative visualization tools for defect identification under DC stress. Electrical Power and Energy Systems, 2020; 123: 1-9.
https://doi.org/10.1016/j.ijepes.2020.106270

Rodrigo Mor, A.; Castro Heredia, L. C; Harmsen, D.A.; Muñoz, F.A. A new design of a test platform for testing multiple partial discharge sources. Electrical Power and Energy Systems, 2018; 74: 374-384.
https://doi.org/10.1016/j.ijepes.2017.07.013

Rodrigo Mor, A.; Muñoz, F.A.; Wu, J.; Castro Heredia, L.C. Automatic partial discharge recognition using the cross wavelet transform in high voltage cable joint measuring systems using two opposite polarity sensors. Electrical Power and Energy Systems, 2020; 117 (105695): pp. 1-8.
https://doi.org/10.1016/j.ijepes.2019.105695

M. Fonseca_Badilloa, L. Negrete_Navarretea, A. González Paradaa, A. Castañeda Mirandab Simulation and analysis of underground power cables faults, Procedia Engineering; 2012; 35: pp. 50 - 57.
https://doi.org/10.1016/j.proeng.2012.04.164

Zhang Hao, Duan Yubing, Wang Bin, Liu Hui, Lin Ying, Hu Xiaoli, Liu Rong, Wang Miao. Case Analysis on Partial Discharge Signal of XLPE Cable T-Joint by Using High-Frequency Pulse Current Method. 4th International Conference on Power and Energy Systems Engineering, CPESE 2017, 25-29 September, 2017, Berlin, Germany. 2017; 141: pp. 545-550.
https://doi.org/10.1016/j.egypro.2017.11.072

Jonathan Y. Stein. Digital Signal Processing: A Computer Science Perspective. Copyright 2000 John Wiley & Sons, Inc. Print ISBN 0-471-29546-9. pp. 71-101.

Tao, J., Tang, J., Zhang, X., Wu, M., Measurement of Partial Discharge Using IEC60270 and Ultra High Frequency Method in GIS, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 456-467.

Haifeng, Y., Yong, Q., Liangqi, S., Gehao, S., Xiuchen, J., UHF Partial Discharge Pattern Recognition for GIS with Support Vector Machine, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 491-496.

Stefenon, S. F., Bruns, R., Sartori, A., Meyer, L. H., Ovejero, R. G., Leithardt, V. R. Q. Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods. IEEE Access, 2022, 10, pp. 33980-33991.
https://doi.org/10.1109/ACCESS.2022.3161506

S. Polisetty, A. El-Hag, and S. Jayram, Classification of common discharges in outdoor insulation using acoustic signals and artificial neural network, High Voltage, 2019, vol. 4, no. 4, pp. 333-338.
https://doi.org/10.1049/hve.2019.0113

Ouiddir, F., Benouzza, N., Gherabi, Z., Stator Current Square Analysis to Discriminate Between Eccentricity and Demagnetization Faults in PMSMs, (2022) International Review of Electrical Engineering (IREE), 17 (1), pp. 11-19.
https://doi.org/10.15866/iree.v17i1.20950

Gherabi, Z., Toumi, D., Benouzza, N., Denai, M., Stator Inter-Turn Short-Circuit and Eccentricity Faults Detection in Permanents Magnets Synchronous Motors Using Line Current Spectrum Analysis, (2020) International Review of Electrical Engineering (IREE), 15 (1), pp. 54-68.
https://doi.org/10.15866/iree.v15i1.17638

Badrul Sham, N., Kamarudin, M., Zainuddin, H., Abd-Rahman, R., Trend of Sulfur Hexafluoride (SF6) Gas Mixtures and Other Alternatives as Insulation Gas: an Overview, (2021) International Review of Electrical Engineering (IREE), 16 (5), pp. 465-475.
https://doi.org/10.15866/iree.v16i5.18937

Pirker, A.; Schichler, U. Partial discharge measurement at DC voltage-Evaluation and Characterization by NoDi* pattern. IEEE Trans. Dielectr. Electr. Insul. 2018, 25, pp. 883-891.
https://doi.org/10.1109/TDEI.2018.006742

Lu, S., Chai, H., Sahoo, A., & Phung, B. T. Condition monitoring based on partial discharge diagnostics using machine learning methods: A comprehensive state-of-the-art review. IEEE Transactions on Dielectrics and Electrical Insulation, 2020, 27(6), pp.1861-1888.
https://doi.org/10.1109/TDEI.2020.009070

Barrios, S., Buldain, D., Comech, M. P., Gilbert, I., & Orue, I. Partial discharge classification using deep learning methods-Survey of recent progress. Energies, 2019, 12(13), p. 2485.
https://doi.org/10.3390/en12132485

H. Chai, B. T. Phung, and S. Mitchell, Application of UHF sensors in power system equipment for partial discharge detection: A review, Sensors, 2019, vol. 19, no. 5, p.1029.
https://doi.org/10.3390/s19051029

L. S. Lumba, U. Khayam, and R. Maulana, "Design of pattern recognition application of partial discharge signals using artificial neural networks," Int. Conf. Electr. Eng. Informatics (ICEEI), 2019, pp. 239-243.
https://doi.org/10.1109/ICEEI47359.2019.8988895

N. Morette, T. Ditchi, and Y. Oussar, Feature extraction and ageing state recognition using partial discharges in cables under HVDC, Electr. Power Syst. Res., 2020, vol. 178, pp. 1-8.
https://doi.org/10.1016/j.epsr.2019.106053

Iorkyase, E. T., Tachtatzis, C., Glover, I. A., Lazaridis, P., Upton, D., Saeed, B., & Atkinson, R. C. Improving RF-based partial discharge localization via machine learning ensemble method. IEEE Transactions on Power Delivery (2019), 34(4), pp. 1478-1489.
https://doi.org/10.1109/TPWRD.2019.2907154

Wang, Y. B., Chang, D. G., Qin, S. R., Fan, Y. H., Mu, H. B., & Zhang, G. J. Separating multi-source partial discharge signals using linear prediction analysis and isolation forest algorithm. IEEE Transactions on Instrumentation and Measurement, 2019, 69(6), pp. 2734-2742.
https://doi.org/10.1109/TIM.2019.2926688

Wang, Y., Yan, J., Sun, Q., Li, J., & Yang, Z. A MobileNets convolutional neural network for GIS partial discharge pattern recognition in the ubiquitous power internet of things context: optimization, comparison, and application. IEEE Access, 2019, 7, pp. 150226-150236.
https://doi.org/10.1109/ACCESS.2019.2946662

Matra, K., Tanakaran, Y., Temponsub, T., Nimbua, S., Thab-in, P., Pluksa, C., Electrical Characteristics of Atmospheric Air Corona Plasma by Multi-pin Electrodes, (2019) International Review of Electrical Engineering (IREE), 14 (3), pp. 226-236.
https://doi.org/10.15866/iree.v14i3.16726


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize