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.

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 (IEEE)
• 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
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