Model order reduction for non-linear quasi-electrostatic problems

In order to reduce the computational complexity and computational time for the non-linear quasi-electrostatic problems, the reduced order finite element model based on proper orthogonal decomposition (POD) and discrete empirical interpolation (DEIM) is proposed. The presented reduced order algorithm...

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Bibliographic Details
Published in2016 IEEE Conference on Electromagnetic Field Computation (CEFC) p. 1
Main Authors Yuqing Xie, Lin Li, Shuaibing Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Computational modeling
Conductivity
discrete empirical interpolation (DEIM)
Finite element analysis
Interpolation
Mathematical model
non-linear
Numerical models
Oils
proper orthogonal decomposition (POD)
quasi-electrostatic problems
Reduced order
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Summary:In order to reduce the computational complexity and computational time for the non-linear quasi-electrostatic problems, the reduced order finite element model based on proper orthogonal decomposition (POD) and discrete empirical interpolation (DEIM) is proposed. The presented reduced order algorithm is applied to compute the electrical field distribution in the winding end of a type of ±500kV converter transformer on the polarity reverse condition. The numerical results show that the computation result of the proposed POD-DEIM reduced order method is in good agreement with that of full order finite element method.
DOI:10.1109/CEFC.2016.7816411