A New SVPWM Strategy for Three-Phase Isolated Converter with Current Ripple Reduction
Sheng Wang,
Huaibao Wang,
Hao Ding,
Ligen Xun and
Sifan Wu
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Sheng Wang: Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Huaibao Wang: Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Hao Ding: Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Ligen Xun: Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Sifan Wu: Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Energies, 2021, vol. 14, issue 16, 1-15
Abstract:
Three-phase isolated matrix converters enable bidirectional power conversion and galvanic isolation, and they are suitable for widespread applications in industry. However, excessive DC-link current ripple not only increases the inductor loss and switching loss but also causes more electromagnetic interference and grid current distortion. Traditionally, increasing DC-link inductance or switching frequency can reduce the current ripple to a certain extent, but it is not cost-effective due to the bulky size of the inductor and higher switching losses. To address the above issue, optimizing the modulation control strategy is more attractive. This paper proposes a new SVPWM strategy to reduce the current ripple. First, the inherent limitation of the conventional modulation scheme is revealed. Then, the new optimal modulation scheme is proposed for the isolated matrix converters to reduce the current ripple without increasing the DC-link inductor or switching frequency. Moreover, the power density of the system is effectively increased. Finally, simulation in a MATLAB environment and a laboratory prototype of the isolated matrix converter have been built to verify the effectiveness of the proposed strategy.
Keywords: three-phase isolated matrix converter; optimal SVPWM modulation; current ripple; power density (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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