DocumentCode :
953037
Title :
Hybrid numerical techniques for power transformer modeling: a comparative analysis validated by measurements
Author :
Tsili, Marina A. ; Kladas, Antonios G. ; Georgilakis, Pavlos S. ; Souflaris, Athanasios T. ; Pitsilis, Costas P. ; Bakopoulos, John A. ; Paparigas, Dimitris G.
Author_Institution :
Fac. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
40
Issue :
2
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
842
Lastpage :
845
Abstract :
The paper presents alternative numerical techniques implemented in power transformer analysis and design focusing on the short circuit impedance evaluation. The proposed method adopts a particular reduced scalar potential formulation enabling a three-dimensional (3-D) magnetostatic problem solution. This method, requiring no source field calculation, in conjunction with a mixed finite-element/boundary-element technique, results in a very efficient 3-D numerical model for power transformer design office use. This model is used to develop an effective computational tool, enabling the accurate transformer characteristics prediction, thus increasing its reliability and reducing its production cost. The computed results of the proposed methodology are validated through measurements in the case of a three-phase wound core power transformer.
Keywords :
magnetostatics; numerical analysis; power transformers; FEM-BEM; accurate transformer characteristics prediction; boundary-element methods; computational tool; finite-element methods; hybrid methods; hybrid numerical techniques; mixed finite-element-boundary-element technique; power transformer analysis; power transformer modeling; production cost; reduced scalar potential formulation; reliability; short circuit impedance evaluation; three-dimensional magnetostatic problem solution; three-phase wound core power transformer; Circuits; Finite element methods; Impedance; Magnetic analysis; Magnetic field measurement; Magnetostatics; Numerical models; Power measurement; Power transformers; Predictive models;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2004.825303
Filename :
1284546
Link To Document :
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