Mixing of FEM and Analytical Modeling: Preliminary Design of a Transformer

Benoit Delinchant, Frédéric Wurtz and Jaime Fandino
Additional contact information
Benoit Delinchant: (INPG/UJF — CNRS — UMR 5529), ENSIEG, Laboratoire d’Electrotechnique de Grenoble
Frédéric Wurtz: (INPG/UJF — CNRS — UMR 5529), ENSIEG, Laboratoire d’Electrotechnique de Grenoble
Jaime Fandino: (INPG/UJF — CNRS — UMR 5529), ENSIEG, Laboratoire d’Electrotechnique de Grenoble

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 245-252 from Springer

Abstract: Abstract We are interested in this paper in methodologies of preliminary design. We applied our study on the optimization of a three-phase transformer. Preliminary design requires low time cost. Although analytical models answer this issue, they brought some loss of quality, as they are subject to many hypotheses. Analytical model can be mixed with numerical ones to improve the modeling quality. The originality of this paper is that we used different modeling methods and software to perform a better design. In this paper, we compared transformer optimizations with 5 different specifications sheets, using two models. On the one hand, a pure analytical model was used, with an automatic symbolic differentiation. On the other hand, we have introduced a FEM evaluation of the leakage reactance in the analytical model. This second model has been implemented using software links and numerical differentiation, which are also discussed.

Keywords: preliminary design; analytical modeling; numerical modeling; sizing. (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_24

Ordering information: This item can be ordered from
http://www.springer.com/9789401724944

DOI: 10.1007/978-94-017-2494-4_24

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().