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Variability of the Acoustic Emission Signals Generated by Partial Discharges in Mineral Oil

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main purpose of the presented research is to investigate the partial discharge (PD) phenomenon variability under long-term AC voltage with particular consideration of the selected physical quantities changes while measured and registered by the acoustic emission method (AE). During the research a PD model source generating surface discharges is immersed in the brand new insulation mineral oil. Acoustic signals generated by the continuously occurred PDs within 168 hours are registered. Several qualitative and quantitative indicators are assigned to describe the PD variability in time. Furthermore, some longterm characteristics of the applied PD model source in mineral oil, are also presented according to acoustic signals emitted by the PD. Finally, various statistical tools are applied for the results analysis and presentation. Despite there are numerous contemporary research papers dealing with long-term PD analysis, such complementary and multiparametric approach has not been presented so far, regarding the presented research. According to the presented research from among all assigned indicators there are discriminated descriptors that could depend on PD long-term duration. On the grounds of the regression models analysis there are discovered trends that potentially allow to apply the results for modeling of the PD variability in time using the acoustic emission method. Subsequently such an approach may potentially support the development and extend the abilities of the diagnostic tools and maintenance policy in electrical power industry.
Rocznik
Strony
339--348
Opis fizyczny
Bibliogr. 37 poz., rys., wykr.
Twórcy
  • Institute of Electrical Power Engineering and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland
Bibliografia
  • 1. Álvarez F., Garnacho F., Ortego J., Sánchez-Urán M. Á. (2015), Application of HFCT and UHF sensors in on-line partial discharge measurements for insulation diagnosis of high voltage equipment, Sensors, 15, 7360-7387.
  • 2. Bakar N., Abu-Siada A., Islam S. (2014), A review of dissolved gas analysis measurement and interpretation techniques, IEEE Electrical Insulation Magazine, 30, 3, 39-49.
  • 3. Boczar T., Cichon A., Wotzka D., Frącz P., Kozioł M., Kunicki M. (2016), Application of nondestructive testing for measurement of partial discharges in oil insulation systems, [in:] Non-destructive testing, Márquez F. P. G. [Ed.], pp. 131-172, InTech.
  • 4. Boczar T., Cichon A., Wotzka D., Kunicki M., Koziol M. (2017), Indicator analysis of partial discharges measured using various methods in paper-oil insulation, IEEE Transactions on Dielectrics and Electrical Insulation, 24, 1, 120-128.
  • 5. Calcara L., Pompili M., Muzi F. (2017), Standard evolution of Partial Discharge detection in dielectric liquids, IEEE Transactions on Dielectrics and Electrical Insulation, 24, 1, 2-6.
  • 6. Cavallini A., Montanari G. C., Tozzi M. (2010), PD apparent charge estimation and calibration: A critical review, IEEE Transactions on Dielectrics and Electrical Insulation, 17, 1, 198-205.
  • 7. Cichoń A., Borucki S., Wotzka D. (2014), Modeling of acoustic emission signals generated in on load tap changer, Acta Physica Polonica A, 125, 6, 1396-1399.
  • 8. Coenen S., Tenbohlen S. (2012), Location of PD sources in power transformers by UHF and acoustic measurements, IEEE Transactions on Dielectrics and Electrical Insulation, 19, 6, 1934-1940.
  • 9. De Faria H., Gabriel J., Costa S., Luis J., Olivas M. (2015), A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis, Renewable and Sustainable Energy Reviews, 46, 201-209.
  • 10. Florkowski M., Florkowska B., Furgał J., Zydron P. (2013), Impact of high voltage harmonics on interpretation of partial discharge patterns, IEEE Transactions on Dielectrics and Electrical Insulation, 20, 6, 2009-2016.
  • 11. Hekmati A. (2015), Proposed method of partial discharge allocation with acoustic emission sensors within power transformers, Applied Acoustics, 100, 26-33.
  • 12. Homaei M., Moosavian S. M., Member S., Illias H. A. (2014), Partial discharge localization in power transformers using neuro-fuzzy technique, IEEE Transactions on Power Delivery, 29, 5, 2066-2076.
  • 13. Kiiza R. C., Niasar M. G., Nikjoo R., Wang X., Edin H. (2014), Change in partial discharge activity as related to degradation level in oil-impregnated paper insulation: Effect of high voltage impulses, IEEE Transactions on Dielectrics and Electrical Insulation, 21, 3, 1243-1250.
  • 14. Kozioł M. (2017), Mathematical model of optical signals emitted by electrical discharges occuring in electroinsulating oil, E3S Web of Conferences, 19, 01042.
  • 15. Kozioł M., Wotzka D., Boczar T., Frącz P. (2016), Application of optical spectrophotometry for analysis of radiation spectrum emitted by electric arc in the air, Journal of Spectroscopy, 2016, article ID: 1814754.
  • 16. Kundu P., Kishore N. K., Sinha A. K. (2009), A noniterative partial discharge source location method for transformers employing acoustic emission techniques, Applied Acoustics, 70, 11-12, 1378-1383.
  • 17. Kundu P., Kishore N. K., Sinha A. K. (2012), Identification of two simultaneous partial discharge sources in an oil-pressboard insulation system using acoustic emission techniques, Applied Acoustics, 73, 4, 395-401.
  • 18. Kunicki M. (2017), Comparison of capacitive and inductive sensors designed for partial discharges measurements in electrical power apparatus, E3S Web of Conferences, 19, article no 01035.
  • 19. Kuncki M. (2018), Behavior of partial discharges in mineral oil with solid dielectric barrier under long-term AC voltage, Proceedings of 2nd International Conference on Dielectrics, pp. 1-4, Budapest, Hungary.
  • 20. Kunicki M., Cichoń A. (2018a), Analysis on partial discharges variability in mineral oil under long-term AC voltage, IEEE Transactions on Dielectrics and Electrical Insulation, 25, 5, 1837-1845.
  • 21. Kunicki M., Cichoń A. (2018b), Application of a phase resolved partial discharge pattern analysis for acoustic emission method in high voltage insulation systems diagnostics, Archives of Acoustics, 43, 2, 235-243.
  • 22. Kunicki M., Cichoń A., Borucki S. (2016), Study on descriptors of acoustic emission signals generated by partial discharges under laboratory conditions and in on-site electrical power transformer, Archives of Acoustics, 41, 2, 265-276.
  • 23. Kunicki M., Cichon A., Borucki S. (2018a), Measurements on partial discharge in on-site operating power transformer: A case study, IET Generation, Transmission and Distribution, 12, 10, 2487-2495.
  • 24. Kunicki M., Cichoń A., Nagi Ł. (2018b), Statistics based method for partial discharge identification in oil paper insulation systems, Electric Power Systems Research, 163, 559-571.
  • 25. Kunicki M., Nagi Ł. (2017), Correlation analysis of partial discharge measurement results, Proceedings of 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/ I&CPS Europe), pp. 1-4, Milan, Italy.
  • 26. Mehdizadeh S., Yazdchi M., Niroomand M. (2013), A novel AE based algorithm for PD localization in power transformers, Journal of Electrical Engineering and Technology, 8, 6, 1487-1496.
  • 27. Mirzaei H., Akbari A., Gockenbach E., Miralikhani K. (2015), 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, 448-455.
  • 28. Mirzaei H. R., Akbari a., Gockenbach E., Zanjani M., Miralikhani K. (2013), 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, 26-39.
  • 29. Olszewska A., Witos F. (2016), Identification of acoustic emission signals originating from the core magnetization of power oil transformer, Archives of Acoustics, 41, 4, 799-812.
  • 30. Pattanadech N., Muhr M. (2016), Partial discharge inception voltage investigation of mineral oil: Effect of electrode configurations and oil conditions, IEEE Transactions on Dielectrics and Electrical Insulation, 23, 5, 2917-2924.
  • 31. Peng P., Cui Y., Ji S., Zhang F., Cao P., Zhu L. (2017), Evolution of partial discharge of oil-paper insulation under long-term AC voltage, 2016 IEEE International Power Modulator and High Voltage Conference, IPMHVC 2016, pp. 166-170.
  • 32. Siegel M., Beltle M., Tenbohlen S. (2017), Application of UHF sensors for pd measurement at power transformers, IEEE Transactions on Dielectrics and Electrical Insulation, 24, 1, 331-339.
  • 33. Tenbohlen S., Coenen S., Djamali M., Müller A., Samimi M. H., Siegel M. (2016), Diagnostic measurements for power transformers, Energies, 9, 5, 1-25.
  • 34. Utami N. Y., Tamsir Y., Pharmatrisanti A., Gumilang H., Cahyono B., Siregar R. (2009), Evaluation condition of transformer based on infrared thermography results, [in:] Proceedings of the IEEE International Conference on Properties and Applications of Dielectric Materials, pp. 1055-1058.
  • 35. Witos F., Gacek Z., Opilski A. (2002), A new acoustic emission descriptor for modelled sources of partial discharges, Archives of Acoustics, 27, 1, 65-77.
  • 36. Witos F., Olszewska A., Szerszeń G. (2011), Analysis of properties characteristic for acoustic emission signals recorded on-line in power oil transformers, Acta Physica Polonica A, 120, 4, 759-762.
  • 37. Zainuddin H., Mitchinson P. M., Lewin P. L. (2011), Investigation on the surface discharge phenomenon at the oil-pressboard interface, Proceedings – IEEE International Conference on Dielectric Liquids, pp. 1-4.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e2ed4098-c50a-4bbb-8c85-ca19b09a48a5
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