Optimal Design of High Power Medium Frequency Transformer Based on Channel Lightweight Requirement

Authors

Fangcheng Lü, 1. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense (North China Electric Power University),Baoding 071003, China; ;
Yunxiang Guo, 1. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense (North China Electric Power University),Baoding 071003, China; ;
Li Peng, 2. Qingdao Sifang Locomotive and Rolling Stock Co. Ltd, Qingdao 266111, China;

Abstract

Abstract: The analytical calculation method for winding loss and core loss of high power medium frequency transformer was analyzed, and the optimal design process was established. A 300 kW medium frequency transformer for lightweight application of electric locomotive was designed optimally by the method of free parameters scanning. Through the establishment of evaluation parameters equation, the best scheme considered both the total loss and transformer weight. On this basis, the winding loss and core loss for six groups of design scheme were verified by finite element simulation in 2D eddy current field and transient field of Ansoft Maxwell respectively. Through the results comparison of analytical design and finite element simulation, the error is acceptable, which verifies the correctness and effectiveness of the optimal design method.

Recommended Citation

Lü, Fangcheng; Guo, Yunxiang; and Peng, Li (2020) "Optimal Design of High Power Medium Frequency Transformer Based on Channel Lightweight Requirement," Journal of System Simulation: Vol. 29: Iss. 1, Article 21.
DOI: 10.16182/j.issn1004731x.joss.201701021
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/21

First Page

154

Revised Date

2015-06-27

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701021

Last Page

161

CLC

TM433;TP391.9

Recommended Citation

Lü Fangcheng, Guo Yunxiang, Li Peng. Optimal Design of High Power Medium Frequency Transformer Based on Channel Lightweight Requirement[J]. Journal of System Simulation, 2017, 29(1): 154-161.

DOI

10.16182/j.issn1004731x.joss.201701021