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Advancements in Power Transformers

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 27 January 2026 | Viewed by 178

Special Issue Editor


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Guest Editor
Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland
Interests: high voltage engineering; electrical insulation and materials; condition monitoring and diagnostics of power equipment

Special Issue Information

Dear Colleagues,

Power transformers play a critical role in ensuring reliable and efficient operation of electrical power systems. While traditionally perceived as mature technologies, they are now undergoing significant innovation in response to evolving grid architectures, the growing integration of renewable energy sources, increasing demands for digitalization, and the global push for sustainability. This Special Issue aims to highlight and disseminate cutting-edge research on the design, operation, diagnostics, monitoring, optimization, and future concepts of power transformers.

We invite original research articles, case studies, and high-quality review papers that explore recent developments in power transformer engineering. Both conventional (oil-immersed, dry-type) and advanced technologies (solid-state, hybrid, high-temperature, and digital transformers) are welcome.

Topics of interest include, but are not limited to, the following:

  • Smart condition monitoring and predictive diagnostics;
  • Artificial intelligence and machine learning in asset health management;
  • Electromagnetic, thermal, and mechanical modeling;
  • Partial discharge, DGA, FRA, and other advanced diagnostic tools;
  • Life-cycle analysis and insulation aging mechanisms;
  • Integration with renewable energy and microgrids;
  • Solid-state transformers and power electronics-based solutions;
  • Eco-friendly materials, sustainable insulation systems, and nanofluids;
  • Performance evaluation under dynamic loading conditions;
  • Optimization techniques for transformer design and performance.

This Special Issue aims to serve as a platform for collaboration and knowledge exchange among researchers, manufacturers, and grid operators. The collected contributions will help define the next generation of transformer technology that meets the expectations of digital grids and low-carbon energy infrastructure.

Prof. Dr. Maciej Zdanowski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • power transformers
  • transformer insulation
  • thermal management
  • insulating materials
  • insulation oil
  • high voltage technology
  • transformer diagnostics
  • fault detection
  • advanced monitoring systems
  • transformer lifetime extension

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Published Papers (1 paper)

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Research

29 pages, 2862 KB  
Article
Transformer Iron Core Temperature Field Calculation Based on Finite Element Analysis
by Ziyang Chen, Zhenggang He and Shuhong Wang
Energies 2025, 18(24), 6537; https://doi.org/10.3390/en18246537 (registering DOI) - 13 Dec 2025
Abstract
Temperature anomaly is a common fault in power transformers; therefore, achieving a fast and accurate calculation of the transformer temperature field is of great significance. This paper primarily introduces the methodology and self-programmed calculation for realizing the temperature field analysis of a single-phase, [...] Read more.
Temperature anomaly is a common fault in power transformers; therefore, achieving a fast and accurate calculation of the transformer temperature field is of great significance. This paper primarily introduces the methodology and self-programmed calculation for realizing the temperature field analysis of a single-phase, two-limb transformer iron core. First, the finite element equation for the three-dimensional steady-state temperature field is derived to provide the basis for the self-programmed Finite Element Method (FEM) calculation. Subsequently, the Finite Element Method (FEM) calculation of the single-phase, two-limb transformer iron core temperature field was implemented using the self-programmed code, and the results were compared with the COMSOL calculation results. The comparison showed that the error at each node was within 0.5 K. Compared to COMSOL, the computation time was reduced by 46.89%, and the memory usage was reduced by 82.37%. Finally, a temperature rise test was designed for the single-phase, two-limb transformer. Compared with the experimental data, the maximum error is within 3 K, which further confirms the accuracy of the program. Full article
(This article belongs to the Special Issue Advancements in Power Transformers)
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