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Comparative Study of Classical and MPC Control for Single-Phase MMC Based on V-HIL Simulations

Majstorovic, Milovan; Rivera, Marco; Ristic, Leposava; Wheeler, Patrick

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Authors

Milovan Majstorovic

Leposava Ristic

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PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems



Abstract

The operation of single-phase Modular Multilevel Converter (MMC) is analyzed in the paper. A mathematical model of the converter is developed and described, based on which the structure and selection of parameters for Classical Control and Optimal Switching State Model Predictive Control (OSS-MPC) are defined. Additionally, the procedure for the determination of circuit parameters, such as submodule capacitance and arm inductance, is described and carried out. The listed control methods are designed and evaluated in Virtual Hardware-in-the-Loop together with single-phase MMC power circuit, regarding three control objectives: AC current control, voltage balancing control and circulating current control. Control methods are evaluated for both steady-state and transient performance and compared based on nine criteria: AC current reference tracking, THD of AC current and voltage, submodule capacitor voltage balancing, total submodule voltage control, circulating current magnitude and THD, number of control parameters and computational complexity. This is the first time that a fair comparison between Classical Control and MPC is considered in literature, resulting in superior performance of both control methods regarding four different criteria and the same performance regarding AC current reference tracking.

Citation

Majstorovic, M., Rivera, M., Ristic, L., & Wheeler, P. (2021). Comparative Study of Classical and MPC Control for Single-Phase MMC Based on V-HIL Simulations. Energies, 14(11), Article 3230. https://doi.org/10.3390/en14113230

Journal Article Type Article
Acceptance Date May 27, 2021
Online Publication Date May 31, 2021
Publication Date Jun 1, 2021
Deposit Date May 13, 2022
Publicly Available Date Mar 28, 2024
Journal Energies
Electronic ISSN 1996-1073
Publisher MDPI AG
Peer Reviewed Peer Reviewed
Volume 14
Issue 11
Article Number 3230
DOI https://doi.org/10.3390/en14113230
Keywords General Computer Science
Public URL https://nottingham-repository.worktribe.com/output/5633445
Publisher URL https://www.mdpi.com/1996-1073/14/11/3230

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