Skip to main navigation Skip to search Skip to main content

Advanced computational tools for wound core distribution transformer no-load analysis

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

Purpose - This paper aims to present an accurate representation of laminated wound cores with a low computational cost using 2D and 3D finite element (FE) method. Design/methodology/approach - The authors developed an anisotropy model in order to model laminated wound cores. The anisotropy model was integrated to the 2D and 3D FE method. A comparison between 2D and 3D FE techniques was carried out. FE techniques were validated by experimental analysis. Findings - In the case of no-load operation of wound core transformers both 2D and 3D FE techniques yield the same results. Computed and experimental local flux density distribution and no-load loss agree within 2 per cent to 6 per cent. Originality/value - The originality of the paper consists in the development of an anisotropy model specifically formulated for laminated wound cores, and in the effective representation of electrical steels using a composite single-valued function. By using the aforementioned techniques, the FE computational cost is minimised and the 3D FE analysis of wound cores is rendered practical.

Original languageEnglish
Pages (from-to)682-691
Number of pages10
JournalCOMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume31
Issue number2
DOIs
Publication statusPublished - 2012
Externally publishedYes
Publication typeA1 Journal article-refereed

Keywords

  • Electromagnetic analysis
  • Finite element methods
  • Magnetic cores
  • Numerical analysis
  • Power transformers

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Advanced computational tools for wound core distribution transformer no-load analysis'. Together they form a unique fingerprint.

Cite this