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Article

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

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LREA, Department of Electrical Engineering, Faculty of Technology, Medea University, Medea 26000, Algeria
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APEC Centre, Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates
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Dielectric Oil Laboratory, SADEG SPA, SONELGAZ, Blida 09100, Algeria
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LRE, Department of Electrical Engineering, Ecole Nationale Polytechnique, Algiers 16200, Algeria
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Advanced High Voltage Engineering Research Centre, School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK
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Authors to whom correspondence should be addressed.
Academic Editor: Franciszek Witos
Energies 2021, 14(8), 2089; https://doi.org/10.3390/en14082089
Received: 23 February 2021 / Revised: 21 March 2021 / Accepted: 26 March 2021 / Published: 9 April 2021
(This article belongs to the Special Issue Advances in Oil Power Transformers)
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%). View Full-Text
Keywords: transformer oil; electrical properties; water content; physical treatment; correlation; regression approach transformer oil; electrical properties; water content; physical treatment; correlation; regression approach
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MDPI and ACS Style

Abdi, S.; Harid, N.; Safiddine, L.; Boubakeur, A.; Haddad, A. The Correlation of Transformer Oil Electrical Properties with Water Content Using a Regression Approach. Energies 2021, 14, 2089. https://doi.org/10.3390/en14082089

AMA Style

Abdi S, Harid N, Safiddine L, Boubakeur A, Haddad A. The Correlation of Transformer Oil Electrical Properties with Water Content Using a Regression Approach. Energies. 2021; 14(8):2089. https://doi.org/10.3390/en14082089

Chicago/Turabian Style

Abdi, Sifeddine, Noureddine Harid, Leila Safiddine, Ahmed Boubakeur, and Abderrahmane Haddad 2021. "The Correlation of Transformer Oil Electrical Properties with Water Content Using a Regression Approach" Energies 14, no. 8: 2089. https://doi.org/10.3390/en14082089

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