Modelling the Effect of Thermal Aging on Transformer Oil Electrical Characteristics Using a Regression Approach

Sifeddine Abdi (), Abderrahmane Manu Haddad (), Noureddine Harid and Ahmed Boubakeur
Additional contact information
Sifeddine Abdi: LREA, Medea University, Medea 26000, Algeria
Abderrahmane Manu Haddad: Advanced High Voltage Engineering Centre, School of Engineering, Cardiff University, Queen’s Buildings, The Parade, Cardiff CF24 3AA, UK
Noureddine Harid: APEC Research Centre, Khalifa University, Abu Dhabi 127788, United Arab Emirates
Ahmed Boubakeur: LRE, Ecole Nationale Polytechnique, Algiers 16200, Algeria

Energies, 2022, vol. 16, issue 1, 1-12

Abstract: The effect of thermal aging on the electrical properties of the insulating oil used for transformers has been explored in this experimental work. In particular the dielectric dissipation factor, the resistivity and the breakdown voltage have been measured and correlated. The numerical results predicted by mathematical model and those measured in the laboratory have been compared by using a regression analysis. Experiments on thermal aging were performed on insulating oil (Borak 22, Nynas, Austria) during a period of time of 5000-h at three different temperatures. First, the transformer oil’s dielectric dissipation factor, the resistivity and the breakdown voltage are measured after every 500 h of aging. Then, polynomial and exponential regression expressions are proposed for modelling the oil’s electrical parameters variations with thermal ageing at different aging temperatures and periods. The results show that after thermal aging, the resistivity and the breakdown voltage decrease with thermal aging, however, the dielectric dissipation factor which increases. This trend is similar for all different aging temperatures. The numerical results show close agreement with the measured results for all the samples and all studied properties. The regression model presents strong correlation with high coefficients (>94%).

Keywords: transformer oil; electrical characteristics; thermal aging; 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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/1/381/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/1/381/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2022:i:1:p:381-:d:1018786

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().