Two-Port Characteristic Analysis for Transformers with the Large Scale Windings Based on Sparse Matrix

Xu Dong Zhang; Jian Ye Yuan; Jing Ping Zhang; Jian Ying Feng

doi:10.4028/www.scientific.net/AMR.986-987.2035

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 986-987Two-Port Characteristic Analysis for Transformers...

Two-Port Characteristic Analysis for Transformers with the Large Scale Windings Based on Sparse Matrix

Abstract:

In order to calculate the two-port wide frequency parameters of a large transformer quickly and accurately, parameter calculation of multi-conductor transmission lines model is proposed based on the sparse matrix operation. It solved the problem caused by the large matrix. Firstly, multi-conductor transmission lines model of the transformer windings is established. Secondly, matrix characteristics of Y and Z is analyzed, based on which the block storage and computation method is applied. Then the frequency-domain model is solved based on sparse matrix operation. At last, taking a SS11-20000/110 transformer as an example, the correctness of this method has been verified by comparing calculation results with measurement results.

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Energy Research and Power Engineering 2014

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Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

2035-2038

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.986-987.2035

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Online since:

July 2014

Authors:

Xu Dong Zhang*, Jian Ye Yuan, Jing Ping Zhang, Jian Ying Feng

Keywords:

Block Storage, Decoupling, Large-Scale Winding, Sparse Matrix, Transformer, Y-Parameters

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* - Corresponding Author

References

[1] Zhongyuan Zhang, Jingsheng Zhao, Xin Ge, Tao Chen. Passive High-frequency Macro Modeling Methods for Transformer Devices [J]. Electric Power Science and Engineering, 2012, 28 (8): 36-42 In Chinese.

Google Scholar

[2] GAO Jun, GAO Shuguo, LIU Haifeng. Research on High-Frequency Model and Its Time-Domain Solution Of Transformer Winding [J]. Transformer, 2009, 46 (12): 37-40"In Chinese.

Google Scholar

[3] Rino Lucic, Ivica Juric-Grgic. Time domain finite element method analysis of multi-conductor transmission line [J]. European Transactions on Electrical Power, 2010, 20: 822- 832.

DOI: 10.1002/etep.366

Google Scholar

[4] Roberto B. Armenta，Costas D. Sarris. Introducing Nonuniform Grids into the FDTD Solution of the Transmission-Line Equations by Renormalizing the Per-Unit-Length Parameters [J]. IEEE Transactions on Electromagnetic Compatibilty, 2009, 51(3), 818-824.

DOI: 10.1109/temc.2009.2019763

Google Scholar

[5] C. R. Paul. Analysis of Multi-conductor Transmission Lines. New York: John Wiley & Sons, 1994: 65-73.

Google Scholar

[6] C .R. Paul. Decoupling the multi-conductor transmission line equations [J] . IEEE Transcation on Microwave Theory and Techniques, 1996, V44(8): 1429-1440.

DOI: 10.1109/22.536026

Google Scholar

[7] R. P. Tewaron. Sparse Matrices [M]. New York, (1973).

Google Scholar

[8] Y. V. Makarov and Z Y Dong. Eigenvalues and eigenfunctions in Encyclopedia of Electrical and Electronics Engineering [J]. New York. Wiley, 1998. Computational Science and Engineering. pp.208-220.

DOI: 10.1002/047134608x.w2413

Google Scholar