IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i8p2813-d792217.html
   My bibliography  Save this article

Diagnostics of High Water Content Paper-Oil Transformer Insulation Based on the Temperature and Frequency Dependencies of the Loss Tangent

Author

Listed:
  • Pawel Zukowski

    (Department of Electrical Devices and High Voltage Technology, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, Poland)

  • Przemyslaw Rogalski

    (Department of Electrical Devices and High Voltage Technology, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, Poland)

  • Vitalii Bondariev

    (Department of Electrical Devices and High Voltage Technology, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, Poland)

  • Milan Sebok

    (Department of Measurement and Application Electrical Engineering, University of Zilina, 8215/1 Univerzitná, 01026 Zilina, Slovakia)

Abstract

The aim of the work was to prepare and test a paper-oil insulation system according to the recommendations of CIGRE (Conseil International des Grands Réseaux Électriques) with the parameters X = 50% and Y = 30%. Pressboard was moistened to a water content of (5.0 ± 0.2) wt.% The loss tangent was measured using a DIRANA meter (FDS-PDC dielectric response analyzer) in the frequency range 10 −4 Hz–5000 Hz for 6 temperatures from 293.15 K to 333.15 K with a step of 8 K. The waveforms simulated by the DIRANA software were fitted to the experimental dependence of the loss tangent. The fitting process was performed using two methods. In the first method, the measuring temperature value as well as X and Y values were entered into the software. The estimated moisture content of the insulation varied from about 1.4 to about 5.2 wt.%. The average value of moisture content was (3.73 ± 1.11) wt.%. In the second method, only the measuring temperature value was entered into the software. This improved the quality of matching. The estimated average moisture content was (5.83 ± 0.25) wt.%. It was found that the dimensions of the oil channel clearly affected the quality of the fitting process. By not taking into consideration real values of oil channel, the quality of the moisture content estimation was significantly improved.

Suggested Citation

  • Pawel Zukowski & Przemyslaw Rogalski & Vitalii Bondariev & Milan Sebok, 2022. "Diagnostics of High Water Content Paper-Oil Transformer Insulation Based on the Temperature and Frequency Dependencies of the Loss Tangent," Energies, MDPI, vol. 15(8), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2813-:d:792217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/8/2813/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/8/2813/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Issouf Fofana & Yazid Hadjadj, 2016. "Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(9), pages 1-26, August.
    2. Pawel Zukowski & Przemyslaw Rogalski & Tomasz N. Koltunowicz & Konrad Kierczynski & Jan Subocz & Marek Zenker, 2020. "Cellulose Ester Insulation of Power Transformers: Researching the Influence of Moisture on the Phase Shift Angle and Admittance," Energies, MDPI, vol. 13(20), pages 1-19, October.
    3. Miguel Martínez & Jorge Pleite, 2020. "Improvement of RVM Test Interpretation Using a Debye Equivalent Circuit," Energies, MDPI, vol. 13(2), pages 1-13, January.
    4. Hanbo Zheng & Jiefeng Liu & Yiyi Zhang & Yijie Ma & Yang Shen & Xiaochen Zhen & Zilai Chen, 2018. "Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data," Energies, MDPI, vol. 11(1), pages 1-17, January.
    5. Pawel Rozga & Abderrahmane Beroual & Piotr Przybylek & Maciej Jaroszewski & Konrad Strzelecki, 2020. "A Review on Synthetic Ester Liquids for Transformer Applications," Energies, MDPI, vol. 13(23), pages 1-33, December.
    6. Pawel Zukowski & Przemyslaw Rogalski & Konrad Kierczynski & Tomasz N. Koltunowicz, 2021. "Precise Measurements of the Temperature Influence on the Complex Permittivity of Power Transformers Moistened Paper-Oil Insulation," Energies, MDPI, vol. 14(18), pages 1-24, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konrad Kierczynski & Przemyslaw Rogalski & Vitalii Bondariev & Pawel Okal & Daniel Korenciak, 2022. "Research on the Influence of Moisture Exchange between Oil and Cellulose on the Electrical Parameters of the Insulating Oil in Power Transformers," Energies, MDPI, vol. 15(20), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomasz N. Kołtunowicz & Konrad Kierczynski & Pawel Okal & Aleksy Patryn & Miroslav Gutten, 2022. "Diagnostics on the Basis of the Frequency-Temperature Dependences of the Loss Angle Tangent of Heavily Moistured Oil-Impregnated Pressboard," Energies, MDPI, vol. 15(8), pages 1-14, April.
    2. Pawel Zukowski & Przemyslaw Rogalski & Konrad Kierczynski & Tomasz N. Koltunowicz, 2021. "Precise Measurements of the Temperature Influence on the Complex Permittivity of Power Transformers Moistened Paper-Oil Insulation," Energies, MDPI, vol. 14(18), pages 1-24, September.
    3. Konrad Kierczynski & Przemyslaw Rogalski & Vitalii Bondariev & Pawel Okal & Daniel Korenciak, 2022. "Research on the Influence of Moisture Exchange between Oil and Cellulose on the Electrical Parameters of the Insulating Oil in Power Transformers," Energies, MDPI, vol. 15(20), pages 1-15, October.
    4. Pawel Zukowski & Przemyslaw Rogalski & Tomasz N. Kołtunowicz & Konrad Kierczynski & Marek Zenker & Alexander D. Pogrebnjak & Matej Kucera, 2022. "DC and AC Tests of Moisture Electrical Pressboard Impregnated with Mineral Oil or Synthetic Ester—Determination of Water Status in Power Transformer Insulation," Energies, MDPI, vol. 15(8), pages 1-16, April.
    5. Hanbo Zheng & Jiefeng Liu & Yiyi Zhang & Yijie Ma & Yang Shen & Xiaochen Zhen & Zilai Chen, 2018. "Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data," Energies, MDPI, vol. 11(1), pages 1-17, January.
    6. Piotr Przybylek, 2023. "Determination of Mineral Oil Concentration in the Mixture with Synthetic Ester Using Near-Infrared Spectroscopy," Energies, MDPI, vol. 16(17), pages 1-12, September.
    7. Hongyan Nie & Xinlao Wei & Yonghong Wang & Qingguo Chen, 2018. "A Study of Electrical Aging of the Turn-to-Turn Oil-Paper Insulation in Transformers with a Step-Stress Method," Energies, MDPI, vol. 11(12), pages 1-16, November.
    8. Issouf Fofana & Yazid Hadjadj, 2018. "Power Transformer Diagnostics, Monitoring and Design Features," Energies, MDPI, vol. 11(12), pages 1-5, November.
    9. Suhaib Ahmad Khan & Mohd Tariq & Asfar Ali Khan & Shabana Urooj & Lucian Mihet-Popa, 2022. "An Experimental Study and Statistical Analysis on the Electrical Properties of Synthetic Ester-Based Nanofluids," Energies, MDPI, vol. 15(23), pages 1-14, December.
    10. Teresa Nogueira & José Carvalho & José Magano, 2022. "Eco-Friendly Ester Fluid for Power Transformers versus Mineral Oil: Design Considerations," Energies, MDPI, vol. 15(15), pages 1-18, July.
    11. Siti Rosilah Arsad & Pin Jern Ker & Md. Zaini Jamaludin & Pooi Ying Choong & Hui Jing Lee & Vimal Angela Thiviyanathan & Young Zaidey Yang Ghazali, 2023. "Water Content in Transformer Insulation System: A Review on the Detection and Quantification Methods," Energies, MDPI, vol. 16(4), pages 1-31, February.
    12. Andrew Adewunmi Adekunle & Samson Okikiola Oparanti & Issouf Fofana, 2023. "Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review," Energies, MDPI, vol. 16(4), pages 1-32, February.
    13. Linao Li & Xinlao Wei, 2022. "Power Interference Suppression Method for Measuring Partial Discharges under Pulse Square Voltage Conditions," Energies, MDPI, vol. 15(9), pages 1-15, May.
    14. 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.
    15. Jingxin Zou & Weigen Chen & Fu Wan & Zhou Fan & Lingling Du, 2016. "Raman Spectral Characteristics of Oil-Paper Insulation and Its Application to Ageing Stage Assessment of Oil-Immersed Transformers," Energies, MDPI, vol. 9(11), pages 1-14, November.
    16. Mohammad Kharezy & Hassan Reza Mirzaei & Torbjörn Thiringer & Yuriy V. Serdyuk, 2022. "Green Solution for Insulation System of a Medium Frequency High Voltage Transformer for an Offshore Wind Farm," Energies, MDPI, vol. 15(6), pages 1-21, March.
    17. Amidou Betie & Fethi Meghnefi & Issouf Fofana & Zie Yeo, 2018. "Modeling the Insulation Paper Drying Process from Thermogravimetric Analyses," Energies, MDPI, vol. 11(3), pages 1-15, February.
    18. Stefan Wolny & Adam Krotowski, 2020. "Analysis of Polarization and Depolarization Currents of Samples of NOMEX ® 910 Cellulose–Aramid Insulation Impregnated with Mineral Oil," Energies, MDPI, vol. 13(22), pages 1-18, November.
    19. Christian Gianoglio & Edoardo Ragusa & Andrea Bruzzone & Paolo Gastaldo & Rodolfo Zunino & Francesco Guastavino, 2020. "Unsupervised Monitoring System for Predictive Maintenance of High Voltage Apparatus," Energies, MDPI, vol. 13(5), pages 1-16, March.
    20. Ali A. Radwan & Ahmed A. Zaki Diab & Abo-Hashima M. Elsayed & Yehya S. Mohamed & Hassan Haes Alhelou & Pierluigi Siano, 2021. "Transformers Improvement and Environment Conservation by Using Synthetic Esters in Egypt," Energies, MDPI, vol. 14(7), pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2813-:d:792217. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.