IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i1p488-d1022608.html
   My bibliography  Save this article

Review on Gassing Tendency of Different Insulating Fluids towards Transformer Applications

Author

Listed:
  • Arputhasamy Joseph Amalanathan

    (Department of High Voltage Engineering, Faculty of Electrical Engineering and Informatics, University of Applied Sciences, 02763 Zittau, Germany)

  • Ramanujam Sarathi

    (Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India)

  • Maciej Zdanowski

    (Department of Electric Power Engineering and Renewable Energy, Faculty of Electrical Engineering, Automatic Control and Computer Science, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland)

  • Ravikrishnan Vinu

    (Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600036, India)

  • Zbigniew Nadolny

    (Department of High Voltage and Electrotechnical Materials, Faculty of Environmental Engineering and Energy, Institute of Power Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

This paper reports the critical reviews on the gassing tendency of different insulating fluids along with the precautionary measures to be considered during their fault diagnosis in transformer insulation. The experimental techniques and procedures for identifying the gassing due to electrical and thermal stress along with the stray gassing phenomenon has been elucidated. The different interpretation schemes used for determining the faults in transformers results in unexpected errors when the historical data relating to mineral oil is used for the other alternative fluids. Mineral oil and natural ester show a positive gassing tendency compared to synthetic ester which exhibit a negative gassing tendency. The stray gases are mostly due to breakage of C-C bonds under normal operating temperature of transformer. Among the different hydrocarbons, hydrogen and ethylene are more predominantly formed under lower temperatures. The silicone oil and ester fluids are more stable even under localised hot spots simulated observing a lesser gassing compared to the mineral oil. The impact of additives along with the oxygen and water content in the insulating fluids can lead to the stray gas’s causing confusion towards the identification of actual faults occurring in transformers. Furthermore, the regeneration of insulating fluids using different adsorbents reduces the gassing tendency depending on the number of cycles used for its reclamation.

Suggested Citation

  • Arputhasamy Joseph Amalanathan & Ramanujam Sarathi & Maciej Zdanowski & Ravikrishnan Vinu & Zbigniew Nadolny, 2023. "Review on Gassing Tendency of Different Insulating Fluids towards Transformer Applications," Energies, MDPI, vol. 16(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:1:p:488-:d:1022608
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/488/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rahman Azis Prasojo & Harry Gumilang & Suwarno & Nur Ulfa Maulidevi & Bambang Anggoro Soedjarno, 2020. "A Fuzzy Logic Model for Power Transformer Faults’ Severity Determination Based on Gas Level, Gas Rate, and Dissolved Gas Analysis Interpretation," Energies, MDPI, vol. 13(4), pages 1-20, February.
    2. Janvier Sylvestre N’cho & Issouf Fofana & Yazid Hadjadj & Abderrahmane Beroual, 2016. "Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(5), pages 1-29, May.
    3. Leila Safiddine & Hadj-Ziane Zafour & Ungarala Mohan Rao & Issouf Fofana, 2019. "Regeneration of Transformer Insulating Fluids Using Membrane Separation Technology," Energies, MDPI, vol. 12(3), pages 1-13, January.
    4. Marek Florkowski & Jakub Furgał & Maciej Kuniewski, 2020. "Propagation of Overvoltages in the Form of Impulse, Chopped and Oscillating Waveforms in Transformer Windings—Time and Frequency Domain Approach," Energies, MDPI, vol. 13(2), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    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. Sergio Bustamante & Mario Manana & Alberto Arroyo & Raquel Martinez & Alberto Laso, 2020. "A Methodology for the Calculation of Typical Gas Concentration Values and Sampling Intervals in the Power Transformers of a Distribution System Operator," Energies, MDPI, vol. 13(22), pages 1-18, November.
    2. Jiangjun Ruan & Shuo Jin & Zhiye Du & Yiming Xie & Lin Zhu & Yu Tian & Ruohan Gong & Guannan Li & Min Xiong, 2017. "Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity," Energies, MDPI, vol. 10(4), pages 1-15, April.
    3. 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.
    4. Jiefeng Liu & Hanbo Zheng & Yiyi Zhang & Hua Wei & Ruijin Liao, 2017. "Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement," Energies, MDPI, vol. 10(10), pages 1-16, October.
    5. Sifeddine Abdi & Noureddine Harid & Leila Safiddine & Ahmed Boubakeur & Abderrahmane (Manu) Haddad, 2021. "The Correlation of Transformer Oil Electrical Properties with Water Content Using a Regression Approach," Energies, MDPI, vol. 14(8), pages 1-14, April.
    6. Issouf Fofana & Yazid Hadjadj, 2018. "Power Transformer Diagnostics, Monitoring and Design Features," Energies, MDPI, vol. 11(12), pages 1-5, November.
    7. Janvier Sylvestre N’cho & Issouf Fofana, 2020. "Review of Fiber Optic Diagnostic Techniques for Power Transformers," Energies, MDPI, vol. 13(7), pages 1-24, April.
    8. Maciej Zdanowski, 2022. "Streaming Electrification of C 60 Fullerene Doped Insulating Liquids for Power Transformers Applications," Energies, MDPI, vol. 15(7), pages 1-14, March.
    9. 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.
    10. Yunhe Luo & Xiaosong Zou & Wei Xiong & Xufeng Yuan & Kui Xu & Yu Xin & Ruoyu Zhang, 2023. "Dynamic State Evaluation Method of Power Transformer Based on Mahalanobis–Taguchi System and Health Index," Energies, MDPI, vol. 16(6), pages 1-16, March.
    11. George Kimani Irungu & Aloys Oriedi Akumu, 2020. "Application of Dissolved Gas Analysis in Assessing Degree of Healthiness or Faultiness with Fault Identification in Oil-Immersed Equipment," Energies, MDPI, vol. 13(18), pages 1-24, September.
    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. Jiake Fang & Hanbo Zheng & Jiefeng Liu & Junhui Zhao & Yiyi Zhang & Ke Wang, 2018. "A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier," Energies, MDPI, vol. 11(8), pages 1-18, July.
    14. Mohammed El Amine Senoussaoui & Mostefa Brahami & Issouf Fofana, 2021. "Transformer Oil Quality Assessment Using Random Forest with Feature Engineering," Energies, MDPI, vol. 14(7), pages 1-15, March.
    15. Chenmeng Zhang & Kailin Zhao & Shijun Xie & Can Hu & Yu Zhang & Nanxi Jiang, 2021. "Research on the Time-Domain Dielectric Response of Multiple Impulse Voltage Aging Oil-Film Dielectrics," Energies, MDPI, vol. 14(7), pages 1-15, April.
    16. 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.
    17. 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.
    18. Marek Florkowski & Jakub Furgał & Maciej Kuniewski & Piotr Pająk, 2020. "Overvoltage Impact on Internal Insulation Systems of Transformers in Electrical Networks with Vacuum Circuit Breakers," Energies, MDPI, vol. 13(23), pages 1-14, December.
    19. Qiang Liu & Ramamoorthi Venkatasubramanian & Shanika Matharage & Zhongdong Wang, 2019. "Effect of Oil Regeneration on Improving Paper Conditions in a Distribution Transformer," Energies, MDPI, vol. 12(9), pages 1-13, May.
    20. Desmond Batsa Dorhjie & Roman Yusupov & Vladislav Krutko & Alexey Cheremisin, 2022. "Deviation from Darcy Law in Porous Media Due to Reverse Osmosis: Pore-Scale Approach," Energies, MDPI, vol. 15(18), pages 1-15, September.

    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:16:y:2023:i:1:p:488-:d:1022608. 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.