Performance Evaluation of Cascaded H-bridge Multilevel Grid-Connected Converter with Model Predictive Control Technique

Hosseinzadeh, Mohammad Ali; Sarbanzadeh, Maryam; Salehi, Ali; Rivera, Marco; Munoz, Javier; Wheeler, Patrick

Abstract

Cascaded H-bridge multilevel converter (CHB) is a promising topology for grid-connection systems. On the other side, model predictive controls are advanced control strategies which have many advantages for power converters applications like as fast dynamic response and easy implementation. This paper proposes a model predictive current control for a single-phase cascaded H-bridge converter topology in two modes: symmetrical and asymmetrical in the grid-connection state. The performance principle of an H-bridge converter and its cascaded connection are analyzed. Then, the mathematical model and predictive current control are explained in a grid-connected condition. The performance of the CHB topologies with the proposed predictive current control technique is evaluated by the simulation results in different conditions.

Citation

Hosseinzadeh, M. A., Sarbanzadeh, M., Salehi, A., Rivera, M., Munoz, J., & Wheeler, P. (2019). Performance Evaluation of Cascaded H-bridge Multilevel Grid-Connected Converter with Model Predictive Control Technique. In 2019 IEEE International Conference on Industrial Technology (ICIT). https://doi.org/10.1109/icit.2019.8755160

• Conference Name: IEEE-ICIT 2019 - International Conference on Industrial Technology
• Conference Location: Melbourne, Australia
• Start Date: Feb 13, 2019
• End Date: Feb 15, 2019
• Publication Date: 2019-02
• Deposit Date: Dec 21, 2018
• Publicly Available Date: Jan 16, 2019
• Book Title: 2019 IEEE International Conference on Industrial Technology (ICIT)
• ISBN: 978-1-5386-6377-6
• DOI: https://doi.org/10.1109/icit.2019.8755160
• Keywords: cascaded H-bridge; multi-level converters; mathematical model; model predictive control
• Public URL: https://nottingham-repository.worktribe.com/output/1432732
• Publisher URL: https://ieeexplore.ieee.org/document/8755160
• Related Public URLs: http://www.ieee-icit2019.org/#
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