Maryam Sarbanzadeh
Model Predictive Control for the New Reduced Multi-level Grid-Connected Converter
Sarbanzadeh, Maryam; Hosseinzadeh, Mohammad Ali; Saleh, Ali; Rivera, Marco; Munoz, Javier; Wheeler, Patrick
Authors
Mohammad Ali Hosseinzadeh
Ali Saleh
Marco Rivera
Javier Munoz
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
Reduced multi-level converters have been presented to enhance the efficiency by reducing the number of components which lead to reducing the size, volume and cost of converters. Predictive control is an advanced control strategy that is implemented for control of multi-level converters due to many advantages of fast response, no need proportional gain and easy to implement. To achieve these results, this paper proposes a predictive current control technique for a single-phase reduced multi-level grid-connected converter. The proposed reduced converter is a general topology for cascaded multilevel converters that reduce the number of components and generates high number of levels than traditional multi-level configurations. The proposed topology is connected to a grid and model predictive control technique is applied to control of the grid current. The model predictive control is used in two cases for the proposed 15-level reduced converter and proposed 31-level cascaded multi-level converter. Finally, to validate of the proposed reduced multi-level converter and proposed model predictive control the simulation results are presented under MATLAB/Simulink platform for proposed both converters.
Citation
Sarbanzadeh, M., Hosseinzadeh, M. A., Saleh, A., Rivera, M., Munoz, J., & Wheeler, P. (2019). Model Predictive Control for the New Reduced Multi-level Grid-Connected Converter. In Proceedings of the IEEE 2019 International Conference on Industrial Technology (ICIT) (1790-1795). https://doi.org/10.1109/ICIT.2019.8754994
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | IEEE-ICIT 2019 - International Conference on Industrial Technology |
Start Date | Feb 13, 2019 |
End Date | Feb 15, 2019 |
Acceptance Date | Nov 15, 2018 |
Online Publication Date | Jul 8, 2019 |
Publication Date | 2019-02 |
Deposit Date | Dec 21, 2018 |
Publicly Available Date | Apr 29, 2019 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1790-1795 |
Series ISSN | 2643-2978 |
Book Title | Proceedings of the IEEE 2019 International Conference on Industrial Technology (ICIT) |
ISBN | 978-1-5386-6377-6 |
DOI | https://doi.org/10.1109/ICIT.2019.8754994 |
Keywords | reduced multi-level converter; model predictive control; cascaded topology |
Public URL | https://nottingham-repository.worktribe.com/output/1432774 |
Publisher URL | https://ieeexplore.ieee.org/document/8754994 |
Additional Information | © 2019 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. |
Contract Date | Dec 21, 2018 |
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