Volume 6, Issue 1 (March 2010)                   IJEEE 2010, 6(1): 62-69 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Faghihi F, Heydari H. Mathematical Proof for the Minimized Stray Fields in Transformers Using Auxiliary Windings Based on State Equations for Evaluation of FEM Results. IJEEE 2010; 6 (1) :62-69
URL: http://ijeee.iust.ac.ir/article-1-258-en.html
Mathematical Proof for the Minimized Stray Fields in Transformers Using Auxiliary Windings Based on State Equations for Evaluation of FEM Results
F. Faghihi , H. Heydari
Abstract:   (13098 Views)
Stray magnetic field is one of the main issues in design of transformers, since it causes non-ideal behavior of transformers. One of the techniques is usually adopted to mitigate the unwanted stray magnetic field is the use of auxiliary windings creating a magnetic field opposite to the incident one giving rise to the reduction of the total magnetic fields. This paper presents a new mathematical proof for optimized parameters such as connection resistance and leakage inductance of the auxiliary windings based on state equations. Some numerical examples for various types of practical transformers are given to demonstrate the validity of the presented mathematical proof and a comparison is made with the results of transformers behavior which is obtained with the help of finite element method. The proposed method is successfully implemented on three different types of transformers: current injection transformer, pulse transformer and superconductor transformers.
Keywords: Characteristics Equation , Current Injection Transformer , Eigenvalues , Finite Element Method , Pulse Transformer , Superconductor Transformer , State Equation , Stray Fields
Full-Text [PDF 165 kb]   (3740 Downloads)    
Type of Study: Research Paper | Subject: modeling of Electrical Machinery
Received: 2010/03/07 | Revised: 2010/03/07 | Accepted: 2013/12/30
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.