Medium Frequency Transformer Design with Ārtap Framework

Tamas Orosz, David Panek, Pavel Karban, Roberto A.H. De Oliveira, João Murta Pina

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

4 Citations (SciVal)

Abstract

Nowadays, there is a huge interest in the design of medium frequency transformers. Due to their high power density and relatively good efficiency. These transformers are still used in wind farms and traction, where not only the efficiency, but the overall size and weight of the transformer are important design criteria. However, the determination of the load losses is based on analytical or pseudo-empirical formulations during the design optimization process. In this paper, an open-source robust design optimization framework process based medium frequency transformer design process is introduced. During the solution of this process, the magnetic field is calculated directly by the builtin FEM solver.

Original languageEnglish
Title of host publication2020 27th International Workshop on Electric Drives
Subtitle of host publicationMPEI Department of Electric Drives 90th Anniversary, IWED 2020 - Proceedings
PublisherIEEE
ISBN (Electronic)9781728141589
DOIs
Publication statusPublished - 20 Apr 2020
Event27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020 - Moscow, Russian Federation
Duration: 27 Jan 202030 Jan 2020

Publication series

Name2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020 - Proceedings

Conference

Conference27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020
Country/TerritoryRussian Federation
CityMoscow
Period27/01/2030/01/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research has been supported by the Ministry of Education, Youth and Sports of the Czech Republic under the project OP VVV Electrical Engineering Technologies with High-Level of Embedded Intelligence CZ.02.1.01/0.0/0.0/18069/0009855

Publisher Copyright:
© 2020 IEEE.

Keywords

  • FEM
  • numerical analysis
  • robust design optimization
  • transformer

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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