102
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A study on electro-thermal-physical properties of mixed mineral oil and vegetable oil as an alternative for liquid insulation in power transformers

ORCID Icon, ORCID Icon & ORCID Icon
Pages 3601-3617 | Received 17 Nov 2023, Accepted 11 Feb 2024, Published online: 05 Mar 2024
 

ABSTRACT

The power transformer plays a crucial role in the power system’s network for distributing power. The efficient operation of power transformers is mainly based on the efficient liquid insulation used for cooling purposes. Mineral Oil (MO) derived from petroleum is traditionally used for insulation in power transformers. However, its lower thermal degradation and thermal conductivity may influence the performance of the transformer. The non-degradable property and low flash and fire points also affect environmental safety. The aforementioned attributes encouraged researchers to propose an alternative transformer oil for power transformers. In literature, various studies have been carried out to analyze Vegetable Oil (VO) as an alternative to petroleum-based MO; However, due to high viscosity, acidity may affect the performance of the transformer. Hence, this article proposes mixed MO with VO as an alternative for liquid insulation in power transformers. This study uses different ratios of coconut oil, palm oil and sunflower oil for investigation with MO. The experimental results show that the electrical, thermal, and physical properties of mixed transformer oil are better than those of MO and VOs. The results show that a higher proposition of VO has shown better performance. The thermal conductivity of mixed VOs with MO has increased by 6–10% compared to the MO. Both flash and fire points of mixed VO with MO increased by 50–70% compared to MO. The load has been performed to analyze the efficiency and operating temperature of the transformer; results show that the mixed VO with MO combination has 32.3% higher efficiency and 16 C lower operating temperature compared to MO. Further, the various aging characteristics of the transformer oil are also discussed in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

M. Ponmathy

Ponmathy M. received her bachelor’s in Electrical and Electronics Engineering from Francis Xavier Engineering College, Tirunelveli, India, in 2018, her Master’s in Power Systems Engineering from Anna University Regional Campus, Coimbatore, India, in 2020 and is now pursuing her PhD in Electrical Engineering at Anna University. Her research interests include power systems, high voltage engineering, and soft computing.

S. Sumathi

Sumathi S. received her bachelor’s in Electrical and Electronics Engineering, a Master’s in High Voltage Engineering, and a Ph.D. in Electrical Engineering from Anna University, Chennai, India. She is now working as an assistant professor at Anna University Regional Campus, Coimbatore, Tamil Nadu, India. Professor Sumathi has more than a decade in the field of teaching and research at both the graduate and doctoral research levels of students. Her research area includes high voltage engineering, power systems, electrical machines, soft computing and control system.

R. Rajesh

Rajesh R. received his bachelor’s in Instrumentation and Control Engineering from PSG College of Technology, Coimbatore, India and a Master’s in Controls and Instrumentation Engineering from Anna University, Chennai, India. He is a Doctoral research scholar in the Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India. His research focuses on control systems, electrical systems, and data-driven and evolutionary optimization techniques for various engineering applications.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.