Research on the Prediction Method of Conducted Interference in Flyback Converters based on the High-frequency Transformer Model

Authors

  • Mengxia Zhou School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China
  • Bin Cheng School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China
  • Jianben Liu State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute, Wuhan 430074, China
  • Yakang Pei School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China
  • Ruining Yao School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China
  • Yan Liu State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute, Wuhan 430074, China
  • Feng Li School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

DOI:

https://doi.org/10.13052/2024.ACES.J.390110

Keywords:

Conducted interference, high-frequency model, interference prediction, self-organizing migrating algorithm (SOMA), transformer

Abstract

Conducted electromagnetic interference (EMI) has always been a challenge for designers of switched-mode power supplies. Flyback converters are used in various applications. However, as the switching frequency of these converters increases, the issue of electromagnetic interference becomes progressively more severe. In light of this, this paper presents a predictive method for conducted interference in flyback converters, based on a high-frequency transformer model. A high-frequency transformer model topology is proposed, integrating traditional inductance models with a three-capacitor model. Subsequently, a self-organizing migrating algorithm (SOMA) is employed for the extraction of parameters from the high-frequency transformer model, and a high-frequency model is established for a transformer. Finally, the high-frequency model is applied to the prediction of conducted interference in flyback converters. The results demonstrate that the proposed predictive method can effectively forecast the actual conducted interference, thereby providing a reference for suppression of conducted electromagnetic interference.

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Author Biographies

Mengxia Zhou, School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

Mengxia Zhou received the M.S. degree in electrical engineering and the Ph.D. degree in physics and electronics from Nanjing Normal University, in 2018 and 2021, respectively. His main research interests include electromagnetic compatibility, electromagnetic environment effect, and high frequency device modeling.

Bin Cheng, School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

Bin Cheng was born in Anhui, China. He received his B.E. degree in electrical engineering from Anhui University of Technology in 2021. He is currently pursuing a M.S. degree in electrical engineering at Nanjing Normal University. His current research interests include high frequency device modeling, switched-mode power supplies, and electromagnetic compatibility.

Jianben Liu, State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute, Wuhan 430074, China

Jianben Liu graduated from Huazhong University of Science and Technology with a Doctor’s degree in Electrical engineering in 2013. He is mainly engaged in the research of power electronics technology, power quality and electromagnetic environment of power systems.

Yakang Pei, School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

Yakang Pei was born in China. He completed his studies in electrical engineering and its automation at the Haibin College of Beijing Jiaotong University in Cangzhou, Hebei, China in 2019, and received his bachelor’s degree in engineering. He is a master student at Nanjing Normal University with research interests in electromagnetic compatibility and high frequency device modeling.

Ruining Yao, School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

Ruining Yao received bachelor’s degree in engineering with electrical machine and its control major from Hunan university in 1997. His main research interests include electrical machine, electromagnetic environment effect, electromagnetic compatibility.

Yan Liu, State Key Laboratory of Power Grid Environmental Protection China Electric Power Research Institute, Wuhan 430074, China

Liu Yan is a senior engineer. Her research interests are power grid remote sensing monitoring and line operation and maintenance.

Feng Li, School of Electrical and Automation Engineering Nanjing Normal University, Nanjing 210023, China

Feng Li obtained his Ph.D. degree from Southeast University, China in 2021. After Ph.D. graduation, he joined school of electrical and automatic engineering, Nanjing Normal University, China. His research areas include power system modelling and simulation, power system stability analysis and control.

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Published

2024-01-31

How to Cite

[1]
M. Zhou, “Research on the Prediction Method of Conducted Interference in Flyback Converters based on the High-frequency Transformer Model”, ACES Journal, vol. 39, no. 01, pp. 81–90, Jan. 2024.

Issue

2024: Vol 39 Iss 1

Section

General Submission

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