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Continuous Set Model Predictive Control for Energy Management of Modular Multilevel Matrix Converters

Urrutia, Matias; Cardenas-Dobson, Roberto; Clare, Jon C.; Diaz, Matias; Watson, Alan J.

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Authors

Matias Urrutia

Roberto Cardenas-Dobson

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JON CLARE jon.clare@nottingham.ac.uk
Professor of Power Electronics

Matias Diaz



Abstract

The Modular Multilevel Matrix Converter is an AC-AC power converter proposed for high power applications such as motor drive and wind energy conversion systems. The M 3C has 9 clusters, allowing 4 circulating currents for converter energy management. Control of the M 3C is frequently divided into Different Frequency Mode (DFM) and Equal Frequency Mode (EFM). EFM is more challenging, because of the larger capacitor voltage oscillations that can be produced. Conventional energy management control strategies for EFM/DFM are usually based on 8 energy control loops used to define four circulating current references composed of several predefined frequencies and positive/negative sequences. The control schemes are typically different for EFM/DFM operation increasing the complexity. In this paper, a Continuous-Control-Set Model Predictive Control (CCS-MPC) for energy management of the M 3C is proposed. The control scheme is based on solving an equality constrained quadratic programming problem, using a state variable model of the M3C, where the optimal solution is analytically obtained. The result is a single and simple control law to obtain circulating current references during EFM/DFM, ensuring a good performance with optimal current specifications. The proposed strategy is experimentally validated using a down-scaled M3C prototype composed of 27 power cells.

Citation

Urrutia, M., Cardenas-Dobson, R., Clare, J. C., Diaz, M., & Watson, A. J. (2021). Continuous Set Model Predictive Control for Energy Management of Modular Multilevel Matrix Converters. IEEE Transactions on Power Electronics, https://doi.org/10.1109/TPEL.2021.3133695

Journal Article Type Article
Acceptance Date Nov 27, 2021
Online Publication Date Dec 9, 2021
Publication Date Dec 9, 2021
Deposit Date Dec 23, 2021
Publicly Available Date Dec 23, 2021
Journal IEEE Transactions on Power Electronics
Print ISSN 0885-8993
Electronic ISSN 1941-0107
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/TPEL.2021.3133695
Keywords Electrical and Electronic Engineering
Public URL https://nottingham-repository.worktribe.com/output/7057674
Publisher URL https://ieeexplore-ieee-org.nottingham.idm.oclc.org/abstract/document/9645380
Additional Information © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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