Open Access

ARTICLE

Modular System of Cascaded Converters Based on Model Predictive Control

Chunxue Wen, Yaoquan Wei^*, Peng Wang, Jianlin Li, Jinghua Zhou, Qingyun Li

School of Electrical and Control Engineering, North China University of Technology, Beijing, 100144, China

* Corresponding Author: Yaoquan Wei. Email:

Energy Engineering 2024, 121(11), 3241-3261. https://doi.org/10.32604/ee.2024.051810

Received 15 March 2024; Accepted 15 May 2024; Issue published 21 October 2024

Abstract

A modular system of cascaded converters based on model predictive control (MPC) is proposed to meet the application requirements of multiple voltage levels and electrical isolation in renewable energy generation systems. The system consists of a Buck/Boost + CLLLC cascaded converter as a submodule, which is combined in series and parallel on the input and output sides to achieve direct-current (DC) voltage transformation, bidirectional energy flow, and electrical isolation. The CLLLC converter operates in DC transformer mode in the submodule, while the Buck/Boost converter participates in voltage regulation. This article establishes a suitable mathematical model for the proposed system topology, and uses MPC to control the system based on this mathematical model. Module parameters are designed and calculated, and simulation is built in MATLAB/Simulink to complete the simulation comparison experiment between MPC and traditional proportional integral (PI) control. Finally, a physical experimental platform is built to complete the physical comparison experiment. The simulation and physical experimental results prove that the control accuracy and response speed of MPC are better than traditional PI control strategy.

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Keywords

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