Diagnosing the Power Equipment Insulation System Condition through Analyzing Dielectric Absorption Spectra
DOI:
https://doi.org/10.24160/1993-6982-2025-3-11-23Keywords:
state assessment methods, return voltage method, power equipment, dielectric absorption spectrum, time domain spectroscopy, dielectric medium response analysisAbstract
Increased attention to the development and studying of modern methods for diagnosing power equipment is still relevant and follows from the need to operate electrical devices, the design capabilities of which have been exhausted almost completely, whereas the reliability requirements have become more stringent. Experts believe that previously installed transformers, whose lifetime exceeds 45-50 years, are at risk and require a well-founded conclusion about the condition of their insulation system. Therefore, methods are needed that would be able not only to assess the condition of the transformer, but also to provide a justification for its reliability within the available budget. One of the most promising diagnostic directions involves the method for constructing dielectric absorption spectra. The polarization/depolarization current, as the most complete response of a dielectric medium to the effect of the applied electric field, turned out to be a very convenient parameter for monitoring the insulating structure condition. There are a large number of attempts to use this method for assessing the dielectric medium state. The following ones are most widely known among them: the direct current spectroscopy (PDC) method, the method for measuring the return voltage value (RVM), and the alternating current spectroscopy (FDS). The diagnostic capabilities of these methods and their disadvantages are almost the same, because they are based on the same dielectric system response to the effect of operational loads. Therefore, it is rather difficult to give preference to any one of them. However, owing to large amount of studies than have been accomplished along with well-made decisions regarding the choice of the monitored parameter with its increased robustness, the use of the insulating gap physical model, which opens the possibility to use the capacities of the Maxwell-Voigt equivalent circuits, the use of a time interval (time window) that distinguishes the Maxwell-Wagner polarization processes from the entire spectrum of dielectric absorption currents, and the establishment of a database and a database of decision-making rules, it became possible to separate the method of dielectric absorption spectra in the time domain (PDC) and use it as the basis for the development of the PDS instrument-analytical complex.
References
2. Приказ Министерства энергетики Российской Федерации № 676 от 26 июля 2017 г. Об утверждении методики оценки технического состояния основного технологического оборудования и линий электропередачи электрических станций и электрических сетей.
3. Александров А.П. и др. Физика диэлектриков. М.-Л.: Гос. техн.-теорет. изд-во, 1932.
4. Сканави Г.И. Физика диэлектриков (область слабых полей) М.-Л.: Гос. изд-во технико-технической лит-ры, 1949.
5. Simmons J.G., Tam V.C. Theory of Isothermal Current and the Direct Datarmination of Trap Parameters in Semiconductors and Insulators Containing Arbitrary Trap Distributions // Phys. Rev. B. 1973. V. 7. Pp. 3706—3713.
6. Li Jingde, Chen Min. Diffusion Theory of Slow Response // Sci. in China. Series A: Math. 1997. V. 40. Pp. 290—296.
7. Fofana I., Hadjadi Y. Electrical-based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers // Energies. 2016. V. 9(9). P. 679.
8. Чернышев В.А., Зинченко К.А. Реализация возможностей спектра значений возвратного напряжения с помощью спектра токов диэлектрической абсорбции // Электроизоляционные материалы: производство, эксплуатация, контроль, импортозамещение. Казань: Казанский гос. энергетический ун-т, 2023. С. 18—28.
9. Jian Hao, Chen G. Quantitative Analysis Ageing Status of Natural Ester-paper Insulation and Mineral Oil-paper Insulation by Polarization // IEEE Trans. Dielectrics and Electrical Insulation. 2018. V. 19(1). Pр. 188—200.
10. Wei J.-L. e. a. Novel Characteristic Parameter for Oil-paper Insulation Assessment from Differential Time-domain Spectroscopy Based on Polarization and Depolarization Current Measurument // IEEE Trans. and Electrical Insulation. 2011. V. 18(6). Pp. 1918—1928.
11. Hideharu Matsuura, Takashi Hose. Graphical Peak Analysis Method for Determining Densities and Emission Rate of Traps in Dielectric Film From Transient Discharge Current // J. Appl. Phys. 2002. V. 91(4). Pр. 2085—2092.
12. CIGRE Task Force 15.01.09. Dielectric Response Methods for Diagnostics of Power Transformers. CIGRE: Paris, 2003. Pp. 25—36.
13. Leibfried T. e. a. Ageing and Moisture Determination in Power Transformer Insulation Systems // Proc. II Intern. Workshop Transformers. Lodz, 1999.
14. Saha T.K., Purkait P. Understanding the Impacts of Moisture and Thermal Aging on Transformers Insulation by Dielectric Response and Molecular Weight Measurements // IEEE Trans. Dielectr. Electr. Insul. 2008. V. 15. Pp. 568—582.
15. Осотов В.Н. Об оценке степени увлажнения и старения бумажной изоляции силовых трансформаторов // Электроизоляционные материалы: производство, эксплуатация, контроль, импортозамещение. Казань: Казанский гос. энергетический ун-т, 2023. С. 98—103.
16. Борисова М.Э. и др. Оценка параметров неоднородности диэлектрика на основе анализа абсорбционных характеристик // Электричество. 1995. № 6. С. 68—72.
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Для цитирования: Чернышев В.А., Серебрянников С.В., Зинченко К.А., Утепов А.Е., Осотов В.Н. Диагностика состояния изоляционной системы энергетического оборудования на основе применения спектров токов диэлектрической абсорбции // Вестник МЭИ. 2025. № 3. С. 11—23. DOI: 10.24160/1993-6982-2025-3-11-23
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Конфликт интересов: авторы заявляют об отсутствии конфликта интересов
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1. Saha T.K. Review of Modern Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers. IEEE Trans. Dielectr. Electr. Insul. 2003;10:903—917.
2. Prikaz Ministerstva Energetiki Rossiyskoy Federatsii № 676 ot 26 Iyulya 2017 g. Ob Utverzhdenii Metodiki Otsenki Tekhnicheskogo Sostoyaniya Osnovnogo Tekhnologicheskogo Oborudovaniya i Liniy Elektroperedachi Elektricheskikh Stantsiy i Elektricheskikh Setey. (in Russian).
3. Аleksandrov A.P. i dr. Fizika Dielektrikov. M.-L.: Gos. Tekhn.-teoret. Izd-vo, 1932. (in Russian).
4. Skanavi G.I. Fizika Dielektrikov (Oblast' Slabykh Poley) M.-L.: Gos. Izd-Vo Tekhniko-tekhnicheskoy Lit-ry, 1949. (in Russian).
5. Simmons J.G., Tam V.C. Theory of Isothermal Current and the Direct Datarmination of Trap Parameters in Semiconductors and Insulators Containing Arbitrary Trap Distributions. Phys. Rev. B. 1973;7:3706—3713.
6. Li Jingde, Chen Min. Diffusion Theory of Slow Response. Sci. in China. Series A: Math. 1997;40:290—296.
7. Fofana I., Hadjadi Y. Electrical-based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers. Energies. 2016;9(9):679.
8. Chernyshev V.A., Zinchenko K.A. Realizatsiya Vozmozhnostey Spektra Znacheniy Vozvratnogo Napryazheniya s Pomoshch'yu Spektra Tokov Dielektricheskoy Absorbtsii. Elektroizolyatsionnye Materialy: Proizvodstvo, Ekspluatatsiya, Kontrol', Importozameshchenie. Kazan': Kazanskiy Gos. Energeticheskiy Un-t, 2023:18—28. (in Russian).
9. Jian Hao, Chen G. Quantitative Analysis Ageing Status of Natural Ester-paper Insulation and Mineral Oil-paper Insulation by Polarization. IEEE Trans. Dielectrics and Electrical Insulation. 2018;19(1):188—200.
10. Wei J.-L. e. a. Novel Characteristic Parameter for Oil-paper Insulation Assessment from Differential Time-domain Spectroscopy Based on Polarization and Depolarization Current Measurument. IEEE Trans. and Electrical Insulation. 2011;18(6):1918—1928.
11. Hideharu Matsuura, Takashi Hose. Graphical Peak Analysis Method for Determining Densities and Emission Rate of Traps in Dielectric Film From Transient Discharge Current. J. Appl. Phys. 2002;91(4):2085—2092.
12. CIGRE Task Force 15.01.09. Dielectric Response Methods for Diagnostics of Power Transformers. CIGRE: Paris, 2003:25—36.
13. Leibfried T. e. a. Ageing and Moisture Determination in Power Transformer Insulation Systems. Proc. II Intern. Workshop Transformers. Lodz, 1999.
14. Saha T.K., Purkait P. Understanding the Impacts of Moisture and Thermal Aging on Transformers Insulation by Dielectric Response and Molecular Weight Measurements. IEEE Trans. Dielectr. Electr. Insul. 2008;15:568—582.
15. Osotov V.N. Ob Otsenke Stepeni Uvlazhneniya i Stareniya Bumazhnoy Izolyatsii Silovykh Transformatorov. Elektroizolyatsionnye Materialy: Proizvodstvo, Ekspluatatsiya, Kontrol', Importozameshchenie. Kazan': Kazanskiy Gos. Energeticheskiy Un-t, 2023:98—103. (in Russian).
16. Borisova M.E. i dr. Otsenka Parametrov Neodnorodnosti Dielektrika na Osnove Analiza Absorbtsionnykh Kharakteristik. Elektrichestvo. 1995;6:68—72. (in Russian)
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For citation: Chernyshev V.A., Serebryannikov S.V., Zinchenko K.A., Utepov A.E., Osotov V.N. Diagnosing the Power Equipment Insulation System Condition through Analyzing Dielectric Absorption Spectra. Bulletin of MPEI. 2025;3:11—23. (in Russian). DOI: 10.24160/1993-6982-2025-3-11-23
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Conflict of interests: the authors declare no conflict of interest

