Comparing two topology transformer hysteresis models derived from DC hysteresis measurements

Research output: Contribution to journalArticlepeer-review


Purpose: The purpose of this paper is to investigate the applicability of a direct current (DC) hysteresis measurement on power transformer terminals for the subsequent hysteresis model parametrization in transformer grey box topology models. Design/methodology/approach: Two transformer topology models with two different hysteresis models are used together with a DC hysteresis measurement via the power transformer terminals to parameterize the hysteresis models by means of an optimization. The calculated current waveform with the derived model in the transformer no-load condition is compared to the measured no-load current waveforms to validate the model. Findings: The proposed DC hysteresis measurement via the power transformer terminals is suitable to parametrize two hysteresis models implemented in transformer topology models to calculate the no-load current waveforms. Originality/value: Different approaches for the measurement and utilization of transformer terminal measurements for the hysteresis model parametrization are discussed in literature. The transformer topology models, derived with the presented approach, are able to reproduce the transformer no-load current waveform with acceptable accuracy.
Original languageEnglish
Pages (from-to)861-877
Number of pages17
JournalCOMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Issue number4
Early online date28 Feb 2023
Publication statusE-pub ahead of print - 28 Feb 2023
Event27th Symposium Electromagnetic Phenomena in Nonlinear Circuits: EPNC 2022 - Hamburg, Germany
Duration: 28 Jul 20221 Aug 2022


  • Magnetic hysteresis
  • Transformers
  • Transient analysis
  • Transient simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Computer Science Applications
  • Computational Theory and Mathematics

Fields of Expertise

  • Sustainable Systems
  • Information, Communication & Computing
  • Advanced Materials Science

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