August 27, 2017 to September 1, 2017
RAI Congress Center, Amsterdam, The Netherlands
Europe/Amsterdam timezone

Modeling and Analysis of Parasitic Capacitance of High-Frequency High-Voltage Transformer Using Finite-Element Method

Aug 28, 2017, 1:15 PM
1h 45m
Posters Area

Posters Area

Poster Presentation of 1h45m E6 - Transformers and Fault Current Limiters Mon-Af-Po1.06


Le Deng (Wuhan National High Magnetic Field Center)


The high-frequency high-voltage (HFHV) transformer acts as a key part for galvanic isolation, energy transmission and voltage conversion in high-frequency resonant converter. And the performance is highly affected by the parasitic parameters, especially the parasitic capacitance. However, the existing techniques have a lot of shortcomings when determining the parasitic capacitance of multi-section multi-layer multi-turn HFHV transformers. A methodology has been proposed to predict the parasitic capacitance of multi-section, multi-layer and multi-turn secondary winding of HFHV transformer based on a 2D-axisymmetric model using finite-element analysis (FEA) software of COMSOL. The magnetic field produced by the coils and the corresponding voltage of each turn were evaluated. The electric field distribution along the windings was analyzed. A 20 kHz, 40 kW transformer with the input voltage of 380 V and the output voltage of 25 kV was designed. The capacitance of the windings with different number of sections, layers and turns was investigated. And an optimum structure of winding was derived, consisting of 9 sections, 9 layers and 4 turns. The winding was manufactured and the parasitic capacitance was measured by the LCR meter using frequency sweeping method. Compared to the classical analytical method with the maximum error of 21%, the method proposed in this paper drastically reduces the error to be less than 10%. The error resources of the classical analytical method are analyzed by the electric energy distribution.

Submitters Country China

Primary author

Le Deng (Wuhan National High Magnetic Field Center)


Tao Peng (Wuhan National High Magnetic Field Center) Shuang Wang (Huazhong University of Science and Technology) Fan Jiang Quqin Sun Prof. Houxiu Xiao (Huazhong University of Science and Technology)

Presentation materials