Comprehensive Analysis of Electric Field Characteristics for Multi-Winding Medium Frequency Transformer

Pei Huang; Renjun Dian; Peng Wang; Dan Wang; Zhenxing Liu; Qi Wang

LAPSE

Living Archive for Process Systems Engineering

LAPSE:2023.32736

Published Article

LAPSE:2023.32736

Comprehensive Analysis of Electric Field Characteristics for Multi-Winding Medium Frequency Transformer

Pei Huang, Renjun Dian, Peng Wang, Dan Wang, Zhenxing Liu, Qi Wang

April 20, 2023

The multi-winding medium frequency transformer (MMFT) has attracted widespread attention, since its application in power electronic transformers can simplify the system structure and reduce the volume and weight. However, the special working conditions of MMFT due to high voltage and high power density increase the difficulty of insulation design for MMFT. For this issue, this paper presents a comprehensive analysis of electric filed characteristics for MMFT. First, the electric field model of MMFT is established using the 2-D finite element method. Based on it, the influences of connection mode, core structure, and hollow winding on the electric field characteristics of MMFT are studied, including the overall electric field distribution, maximum electric field intensity, and the electric field intensity along a fixed path. The results show that there are differences in the maximum electric field intensity for different connection modes and different core structures, which provides references for MMFT insulation design. The proposed modeling method and analysis results in this paper are important for insulation improvement of MMFT.

Record ID

LAPSE:2023.32736

Keywords

connection mode, core structure, electric field, finite element method, hollow winding, insulation design, medium frequency transformer

Subject

Process Design

Suggested Citation

Huang P, Dian R, Wang P, Wang D, Liu Z, Wang Q. Comprehensive Analysis of Electric Field Characteristics for Multi-Winding Medium Frequency Transformer. (2023). LAPSE:2023.32736

Author Affiliations

Huang P: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and T
Dian R: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and T
Wang P: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and T
Wang D: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China [ORCID]
Liu Z: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and T
Wang Q: School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and T

Journal Name

Energies

Volume

14

Issue

11

First Page

3285

Year

2021

Publication Date

2021-06-04