Abstract
A new three-phase voltage source ac-ac converter is proposed, also known as a three-phase dual-buck ac-ac converter. It needs less shoot-through limiting inductors to decrease the cost and improve the power density. It has step down operation. The suggested converter has high immunity against the shoot-through of voltage sources or capacitors and can eliminate the dead-time between the switching signals. Thus a system with improved reliability can be designed with the proposed converter. MOSFET can be used as switching devices in the proposed converter without the need of reverse recovery worries of body diode, due to the bad reverse recovery of MOSFET body diodes, and advantages of MOSFETs such as low switching loss, resistive conduction voltage drop, and fast switching can be obtained. As a result, the size of passive components can be reduced by using a high switching frequency.
Original language | English |
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Title of host publication | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728193878 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 2022 Oct 9 → 2022 Oct 13 |
Publication series
Name | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 |
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Conference
Conference | 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 |
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Country/Territory | United States |
City | Detroit |
Period | 22/10/9 → 22/10/13 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A3B2079407).
Publisher Copyright:
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Mechanical Engineering
- Safety, Risk, Reliability and Quality
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization