Transformer Resonance Analysis and Visualization Using Current Distribution Matrix

Journal Article (2026)
Author(s)

Amir Heidary (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Behzad Behdani (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Mohamad Ghaffarian Niasar (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Marjan Popov (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/TPWRD.2026.3688104 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Intelligent Electrical Power Grids
Journal title
IEEE Transactions on Power Delivery
Issue number
4
Volume number
41
Pages (from-to)
1838-1841
Downloads counter
108
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Abstract

The increasing penetration of renewable energy sources and frequent lightning and switching events have intensified transient phenomena in modern power systems, exposing power transformers to resonance at critical frequencies. These conditions may cause internal overvoltages, and insulation failure. While many studies focus on wide-band transformer modeling and resonance identification, their primary objective is accurate frequency-domain representation rather than revealing the physical origin of resonance inside the transformer. This paper does not aim to introduce a new transformer modeling method. Instead, it presents a visualization-based approach to identify transformer components responsible for resonance. By analyzing the branch current matrix of a transformer disk model and visualizing current distribution using a color map, dominant resonance-driving elements are identified. This visualization enables protection and future design enhancement.

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