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The Correlation of Transformer Oil Electrical Properties with Water Content Using a Regression Approach

Author

Listed:
  • Sifeddine Abdi

    (LREA, Department of Electrical Engineering, Faculty of Technology, Medea University, Medea 26000, Algeria)

  • Noureddine Harid

    (APEC Centre, Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates)

  • Leila Safiddine

    (Dielectric Oil Laboratory, SADEG SPA, SONELGAZ, Blida 09100, Algeria)

  • Ahmed Boubakeur

    (LRE, Department of Electrical Engineering, Ecole Nationale Polytechnique, Algiers 16200, Algeria)

  • Abderrahmane (Manu) Haddad

    (Advanced High Voltage Engineering Research Centre, School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK)

Abstract

An experimental investigation is conducted to measure and correlate the impact of the water content on the electrical characteristics of the mineral oil for transformers, particularly the breakdown voltage, the resistivity, and the dielectric dissipation factor. Regression method is carried out to compare the results obtained through laboratory experiments with those predicted using an analytical model. A treatment to reduce water content in oil involving filtration, degassing and dehydration using a SESCO mobile station was applied to the new, regenerated, and used oil samples in service. The breakdown voltage, the resistivity, and the dielectric dissipation factor of the samples were measured. Regression analysis using an exponential model was applied to examine the samples electrical properties. The results show that, after treatment, the breakdown voltage and resistivity increase as the water content decreases, unlike the dielectric dissipation factor which exhibits a decreasing trend. This trend is found to be similar for the three oil samples: new, regenerated, and used. The results of the regression analysis give close agreement with the experimental results for all the samples and all studied characteristics. The model shows strong correlation with high coefficients (>90%).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2089-:d:532854
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    References listed on IDEAS

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    1. Xiaojing Zhang & Lu Ren & Haichuan Yu & Yang Xu & Qingquan Lei & Xin Li & Baojia Han, 2018. "Dual-Temperature Evaluation of a High-Temperature Insulation System for Liquid-Immersed Transformer," Energies, MDPI, vol. 11(8), pages 1-15, July.
    2. Lin Cheng & Yi Jiang & Min Dan & Hao Wen & Yanqing Li & Wei Qin & Jian Hao, 2020. "Effects of Fiber and Copper Particles on Conductivity and Breakdown Characteristics of Natural Ester and Mineral Oil under DC Voltage," Energies, MDPI, vol. 13(7), pages 1-16, April.
    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.
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    Cited by:

    1. Sifeddine Abdi & Abderrahmane Manu Haddad & Noureddine Harid & Ahmed Boubakeur, 2022. "Modelling the Effect of Thermal Aging on Transformer Oil Electrical Characteristics Using a Regression Approach," Energies, MDPI, vol. 16(1), pages 1-12, December.
    2. Bonginkosi A. Thango & Agha F. Nnachi & Goodness A. Dlamini & Pitshou N. Bokoro, 2022. "A Novel Approach to Assess Power Transformer Winding Conditions Using Regression Analysis and Frequency Response Measurements," Energies, MDPI, vol. 15(7), pages 1-22, March.

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