Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers

Zhengda Zhang, Lei Zhang, Jiangchao Qin, Qing Duan, Wanxing Sheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Medium frequency transformer (MFT) is the key component for solid state transformer (SST) applications. It provides voltage conversion and galvanic isolation between medium/high-voltage side and low-voltage side. The employment of the MFT can significantly reduce volume and weight of power conversion systems. For high-power medium/high-voltage applications, multilevel converters are the most promising topology and applicable for SST applications. Compared to the conventional full-bridge or half-bridge converters producing square excitation voltage waveforms for the MFT, multilevel converters can generate controllable multilevel excitation voltage waveforms, which potentially improves efficiency and controllability of the SST. In this paper, various excitation voltage waveforms for the MFT are investigated and the optimal multilevel excitation voltage waveforms are identified in terms of total losses and system complexity. Meanwhile, factors affecting core loss and winding loss of the MFT are explored. These factors are applicable for transformer loss analysis under arbitrary excitation waveforms.

Original languageEnglish (US)
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1382-1387
Number of pages6
ISBN (Electronic)9781479973118
DOIs
StatePublished - Dec 3 2018
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: Sep 23 2018Sep 27 2018

Other

Other10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
CountryUnited States
CityPortland
Period9/23/189/27/18

Fingerprint

Transformer
Waveform
Excitation
Voltage
Electric potential
Converter
Low Voltage
Controllability
High Power
Isolation
Topology
Arbitrary
Factors

Keywords

  • Core loss
  • Medium frequency transformer
  • Multilevel converter
  • Multilevel excitation voltage
  • Power electronic transformer
  • Solid state transformer
  • Winding loss

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

Cite this

Zhang, Z., Zhang, L., Qin, J., Duan, Q., & Sheng, W. (2018). Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 (pp. 1382-1387). [8558423] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2018.8558423

Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers. / Zhang, Zhengda; Zhang, Lei; Qin, Jiangchao; Duan, Qing; Sheng, Wanxing.

2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1382-1387 8558423.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z, Zhang, L, Qin, J, Duan, Q & Sheng, W 2018, Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers. in 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018., 8558423, Institute of Electrical and Electronics Engineers Inc., pp. 1382-1387, 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018, Portland, United States, 9/23/18. https://doi.org/10.1109/ECCE.2018.8558423
Zhang Z, Zhang L, Qin J, Duan Q, Sheng W. Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1382-1387. 8558423 https://doi.org/10.1109/ECCE.2018.8558423
Zhang, Zhengda ; Zhang, Lei ; Qin, Jiangchao ; Duan, Qing ; Sheng, Wanxing. / Investigation of Optimal Excitation Waveforms for Medium Frequency Transformers. 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1382-1387
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