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Proposal of Physical-Statistical Model of Thermal Aging Respecting Threshold Value

Author

Listed:
  • Jakub Souček

    (ALFMEIER CZ s.r.o., 301 00 Pilsen, Czech Republic)

  • Pavel Trnka

    (Department of Technologies and Measurement, Faculty of Electrical Engineering, University of West Bohemia, 306 14 Pilsen, Czech Republic)

  • Jaroslav Hornak

    (Department of Technologies and Measurement, Faculty of Electrical Engineering, University of West Bohemia, 306 14 Pilsen, Czech Republic)

Abstract

The aging of electrical insulation material or a system is a main issue for designers of high-voltage (HV) machines. Precise determination of the life cycle of electrical insulation is one way of improving the efficiency of electrical machines involved in the production and transmission of electrical energy. Much effort has been devoted to preparing statistical or physical methods of Electrical Insulating System (EIS) life time estimation in the real operation of electrical machinery. The main aim of this paper is to introduce a new physical-statistical model of thermal aging respecting the threshold value. This model is based on thermal aging model and the main difference between this model and previously published models is taking into account the threshold value of degradation factor. The complete design of this model is presented in this paper, including functions defining the threshold value of the effect of the degradation factor depending on the temperature. Proposed model was verified by accelerated thermal aging test at selected temperatures (160, 170, 180 °C) and time intervals (0, 120, 240 h) on a commonly used transformer board. The breakdown voltage was set as an indicating parameter of the level of thermal aging and was measured according to standard IEC 60243-1. Collected data from these measurements were used for threshold value determination (431.23 K) and verification of proposed physical-statistical model of thermal aging respecting the threshold value.

Suggested Citation

  • Jakub Souček & Pavel Trnka & Jaroslav Hornak, 2017. "Proposal of Physical-Statistical Model of Thermal Aging Respecting Threshold Value," Energies, MDPI, vol. 10(8), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1120-:d:106657
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    References listed on IDEAS

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    1. Hang Liu & Youyuan Wang & Yi Yang & Ruijin Liao & Yujie Geng & Liwei Zhou, 2017. "A Failure Probability Calculation Method for Power Equipment Based on Multi-Characteristic Parameters," Energies, MDPI, vol. 10(5), pages 1-15, May.
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    Cited by:

    1. Przemyslaw Goscinski & Zbigniew Nadolny & Andrzej Tomczewski & Ryszard Nawrowski & Tomasz Boczar, 2023. "The Influence of Heat Transfer Coefficient α of Insulating Liquids on Power Transformer Cooling Systems," Energies, MDPI, vol. 16(6), pages 1-15, March.

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