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Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review

Author

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  • Andrew Adewunmi Adekunle

    (Research Chair on the Aging of Power Network Infrastructure (ViAHT), University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Samson Okikiola Oparanti

    (Research Chair on the Aging of Power Network Infrastructure (ViAHT), University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Issouf Fofana

    (Research Chair on the Aging of Power Network Infrastructure (ViAHT), University of Quebec at Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

Abstract

Insulation cellulose paper is a basic measure for a power transformer’s remaining useful life, and its advantageous low cost, electrical, and mechanical properties have made it an extensive insulation system when impregnated in a dielectric liquid. Cellulose paper deteriorates as a result of ageing due to some chemical reactions like pyrolysis (heat), hydrolysis (moisture), and oxidation (oxygen) that affects its degree of polymerization. The condition analysis of cellulose paper has been a major concern since the collection of paper samples from an operational power transformer is almost impossible. However, some chemicals generated during cellulose paper deterioration, which were dissolved in dielectric liquid, have been used alternatively for this purpose as they show a direct correlation with the paper’s degree of polymerization. Furthermore, online and non-destructive measurement of the degree of polymerization by optical sensors has been proposed recently but is yet to be available in the market and is yet generally acceptable. In mitigating the magnitude of paper deterioration, some ageing assessments have been proposed. Furthermore, researchers have successfully enhanced the insulating performance of oil-impregnated insulation paper by the addition of various types of nanoparticles. This study reviews the ageing assessment of oil-paper composite insulation and the effect of nanoparticles on tensile strength and electrical properties of oil-impregnated paper insulation. It includes not only significant tutorial elements but also some analyses, which open the door for further research on the topic.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:2002-:d:1071956
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    References listed on IDEAS

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    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. Michail Michelarakis & Phillip Widger & Abderrahmane Beroual & Abderrahmane (Manu) Haddad, 2019. "Electrical Detection of Creeping Discharges over Insulator Surfaces in Atmospheric Gases under AC Voltage Application," Energies, MDPI, vol. 12(15), pages 1-15, August.
    3. Vahid Behjat & Reza Emadifar & Mehrdad Pourhossein & U. Mohan Rao & Issouf Fofana & Reza Najjar, 2021. "Improved Monitoring and Diagnosis of Transformer Solid Insulation Using Pertinent Chemical Indicators," Energies, MDPI, vol. 14(13), pages 1-13, July.
    4. Daniel Pérez-Rosa & Belén García & Juan Carlos Burgos, 2022. "Influence of Nanoparticles on the Degradation Processes of Ester-Based Transformer Insulation Systems," Energies, MDPI, vol. 15(4), pages 1-13, February.
    5. Junping Zhao & Zhengjie An & Bin Lv & Zhicheng Wu & Qiaogen Zhang, 2020. "Characteristics of the Partial Discharge in the Development of Conductive Particle-Initiated Flashover of a GIS Insulator," Energies, MDPI, vol. 13(10), pages 1-11, May.
    6. Kakou D. Kouassi & Issouf Fofana & Ladji Cissé & Yazid Hadjadj & Kouba M. Lucia Yapi & K. Ambroise Diby, 2018. "Impact of Low Molecular Weight Acids on Oil Impregnated Paper Insulation Degradation," Energies, MDPI, vol. 11(6), pages 1-13, June.
    7. Bonginkosi A. Thango & Pitshou N. Bokoro, 2022. "Prediction of the Degree of Polymerization in Transformer Cellulose Insulation Using the Feedforward Backpropagation Artificial Neural Network," Energies, MDPI, vol. 15(12), pages 1-12, June.
    8. 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.
    9. Jocelyn Jalbert & Esperanza M. Rodriguez-Celis & Oscar H. Arroyo-Fernández & Steve Duchesne & Brigitte Morin, 2019. "Methanol Marker for the Detection of Insulating Paper Degradation in Transformer Insulating Oil," Energies, MDPI, vol. 12(20), pages 1-30, October.
    10. Guoqiang Xia & Guangning Wu & Bo Gao & Haojie Yin & Feibao Yang, 2017. "A New Method for Evaluating Moisture Content and Aging Degree of Transformer Oil-Paper Insulation Based on Frequency Domain Spectroscopy," Energies, MDPI, vol. 10(8), pages 1-15, August.
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    1. Zuhaib Nishtar & Fangzong Wang, 2024. "Implementation of Fuzzy Logic Scheme for Assessment of Power Transformer Oil Deterioration Using Imprecise Information," Energies, MDPI, vol. 17(21), pages 1-20, October.

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