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

Sifeddine Abdi, Noureddine Harid, Leila Safiddine, Ahmed Boubakeur and Abderrahmane (Manu) Haddad
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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

Energies, 2021, vol. 14, issue 8, 1-14

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%).

Keywords: transformer oil; electrical properties; water content; physical treatment; correlation; regression approach (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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