Simple DC-Link Voltage Balancing Approach for Cascaded H-Bridge Rectifier with Asymmetric Parameters of Independent DC Loads
Jin Zhu,
Tongzhen Wei,
Ming Ma and
Libo Han
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Jin Zhu: Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
Tongzhen Wei: Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
Ming Ma: Institute of Electric Power Science, Guangdong Power Grid Company, Guangzhou, Guangdong 510080, China
Libo Han: Institute of Electrical Engineering, Chinese Academy of Sciences, Haidian District, Beijing 100190, China
Energies, 2019, vol. 12, issue 9, 1-20
Abstract:
CHB is a suitable type of topology for synchronous rectifier application which has two or more independent DC loads. Focusing on the individual DC-link capacitor voltage balancing problems caused by asymmetric parameters of independent DC loads, this paper developed a new dual modulation signals based phase disposition pulse width modulation (PD-PWM) strategy using dynamic carrier bias allocation method. Its main idea is to allocate the bias of the carrier wave dynamically according to the balance situation of the system. Compared with the traditional modulation strategies, this method is more easily to be realized and has much stronger dynamic regulation ability. This modulation strategy is widely applicable to various types of CHB structures. A detailed analysis of the DC-link capacitor charge-discharge profile is performed, and an operation condition based dynamic bias allocation method is described using the cascaded H-bridge rectifier (CHBR) structure of five sub-modules as an example. A simulation model and an experiment platform are developed, and the feasibility and effectiveness of the modulation strategy are verified by simulation and experiment results.
Keywords: cascaded H-bridge rectifier; PD-PWM; DC-link voltage balancing (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: 2019
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