Performance evaluation of a tape-wound core transformer using meta-model based scaling laws

Ahmed Tahir, Abdelsalam Elhaffar, Scott Sudhoff, Steve Pekarek

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Due to their several advantages, tape-wound core transformers are used in various power electronic systems. To obtain the optimal designs of the transformer using multi-objective optimization techniques, the effect of its performance on the whole system should be accounted for without computational liability. This may be achieved by deriving a meta-model based on scaling laws which relate the transformer performance equations to general quantities such as rated power, frequency and current density. A per-unit T-equivalent circuit and magnetic equivalent circuit model are used to obtain the transformer scaled model. By using genetic-algorithms based multi-objective optimization and curve fitting techniques, the transformer meta-model is derived. The derived meta-model is used to study the effect of varying frequency and rated power on the transformer performance.

Original languageEnglish
Pages (from-to)339-348
Number of pages10
JournalInternational Journal of Computing and Digital Systems
Issue number6
Publication statusPublished - Nov 1 2017


  • MEC model
  • Meta-model
  • Operating point analysis
  • Scaling laws
  • T-equivalent circuit
  • Tape-wound core transformer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Human-Computer Interaction
  • Management of Technology and Innovation
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design


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