IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i9p3829-d1136583.html
   My bibliography  Save this article

Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment

Author

Listed:
  • Ghada Gmati

    (Department of Applied Sciences, University of Quebec in Chicoutimi, Saguenay, QC G7H 2B1, Canada)

  • Ungarala Mohan Rao

    (Department of Applied Sciences, University of Quebec in Chicoutimi, Saguenay, QC G7H 2B1, Canada)

  • Issouf Fofana

    (Department of Applied Sciences, University of Quebec in Chicoutimi, Saguenay, QC G7H 2B1, Canada)

  • Patrick Picher

    (Hydro-Québec’s Research Institute, Varennes, QC J3X 1S1, Canada)

  • Oscar Arroyo-Fernàndez

    (Hydro-Québec’s Research Institute, Varennes, QC J3X 1S1, Canada)

  • Djamal Rebaine

    (Department of Applied Sciences, University of Quebec in Chicoutimi, Saguenay, QC G7H 2B1, Canada)

Abstract

The degradation of the insulation system in liquid-filled power transformers is a serious concern for electric power utilities. The insulation system’s ageing is accelerated by moisture, acids, oxidation products, and other decay particles (soluble and colloidal). The presence of these ageing by-products is detrimental to the insulation system and may further lead to premature ageing and serious consequences. The ageing mechanisms of oil-paper insulation are complex, highly interrelated, and strongly temperature-dependent. The operating temperature of the transformer insulating system has a direct relationship with the loading profile. The major aspect that is witnessed with the fluctuating temperatures is moisture migration and subsequent bubble evolution. In other words, gas bubbles evolve from the release of water vapor from the cellulosic insulation wrapped around the transformer windings. The models presented in the existing standards, such as the IEC Std. 60076-7:2018 and the IEEE Std. C57.91:2011, are mainly based on the insulation temperature, which acts as a key parameter. Several studies have investigated the moisture dynamics and bubbling phenomenon as a function of the water content in the paper and the state of the insulation system. Some studies have reported different prototypes for the estimation of the bubble inception temperatures under selected conditions. However, there are various attributes of the insulation system that are to be considered, especially when expanding the models for the alternative liquids. This paper reviews various evaluation models reported in the literature that help understand the bubbling phenomenon in transformer insulation. The discussions also keep us in the loop on the estimation of bubbling behavior in alternative dielectric liquids and key attributable factors for use in transformers. In addition, useful tutorial elements focusing on the bubbling issue in transformers as well as some critical analyses are addressed for future research on this topic.

Suggested Citation

  • Ghada Gmati & Ungarala Mohan Rao & Issouf Fofana & Patrick Picher & Oscar Arroyo-Fernàndez & Djamal Rebaine, 2023. "Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment," Energies, MDPI, vol. 16(9), pages 1-23, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3829-:d:1136583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/9/3829/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/9/3829/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yazid Hadjadj & Fethi Meghnefi & Issouf Fofana & Hassan Ezzaidi, 2013. "On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions," Energies, MDPI, vol. 6(4), pages 1-17, April.
    2. 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.
    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. 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.
    2. Issouf Fofana & John Sabau & Amidou Betie, 2015. "Measurement of the Relative Free Radical Content of Insulating Oils of Petroleum Origin," Energies, MDPI, vol. 8(8), pages 1-13, July.
    3. Youyuan Wang & Kun Xiao & Bijun Chen & Yuanlong Li, 2015. "Study of the Impact of Initial Moisture Content in Oil Impregnated Insulation Paper on Thermal Aging Rate of Condenser Bushing," Energies, MDPI, vol. 8(12), pages 1-13, December.
    4. 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.
    5. 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.
    6. Giovanni Hernandez & Abner Ramirez, 2022. "Dielectric Response Model for Transformer Insulation Using Frequency Domain Spectroscopy and Vector Fitting," Energies, MDPI, vol. 15(7), pages 1-14, April.
    7. Feng Yang & Lin Du & Lijun Yang & Chao Wei & Youyuan Wang & Liman Ran & Peng He, 2018. "A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements," Energies, MDPI, vol. 11(3), pages 1-17, March.
    8. Yiyi Zhang & Jiefeng Liu & Hanbo Zheng & Hua Wei & Ruijin Liao, 2017. "Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model," Energies, MDPI, vol. 10(11), pages 1-17, November.
    9. Jiacheng Xie & Ming Dong & Boning Yu & Yizhuo Hu & Kaige Yang & Changjie Xia, 2020. "Physical Model for Frequency Domain Spectroscopy of Oil–Paper Insulation in a Wide Temperature Range by a Novel Analysis Approach," Energies, MDPI, vol. 13(17), pages 1-17, 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:9:p:3829-:d:1136583. 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.