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Three-phase three-level four-leg NPC converters with advanced model predictive control

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Abstract

This paper presents a computational reduction algorithm for applying model predictive control to a three-level four-leg converter. An optimal switching state is selected by only considering 7 voltage vectors located near the reference voltage vector, rather than using 81 voltage vectors in every sampling period, as in the conventional method. The sector, prism, and tetrahedron are sequentially selected using the position of the reference voltage vector. In addition, the seven voltage vectors selected in advance are the vectors constituting the selected tetrahedron. Thus, the proposed method reduces the computational cost and provides an improved model predictive control that does not affect the performance. The proposed method comprises an experimental setup of the proposed three-level four-leg converter to compare its performance with that of the conventional method.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C1013413) and the Korea Electric Power Corporation (Grant number: R21XA01-3).

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Authors and Affiliations

  1. School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, Korea

    Chan Roh & Sangshin Kwak

  2. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA

    Seungdeog Choi

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  1. Chan Roh
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  2. Sangshin Kwak
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  3. Seungdeog Choi
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Correspondence to Sangshin Kwak.

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Roh, C., Kwak, S. & Choi, S. Three-phase three-level four-leg NPC converters with advanced model predictive control. J. Power Electron. 21, 1574–1584 (2021). https://doi.org/10.1007/s43236-021-00283-z

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  • DOI: https://doi.org/10.1007/s43236-021-00283-z

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