A Model Predictive Control Method with Adaptive Weighting Factors for Enhancing Performance of Modular Multilevel Converters
Journal article, 2024

This article introduces an approach to enhance the performance of modular multilevel converters (MMCs) by utilizing the direct model predictive control (MPC) strategy. The novel MPC method presented here incorporates a dynamic cost function, which adapts weighting factors according to the varying submodule (SM) capacitor voltages in the MMC. Through thorough simulation and experimental analysis, it is evident that the proposed MPC technique improves the performance of the MMC operation across a range of modulation indices. In addition, the approach achieves the desired 2N+1 phase output voltage level, which reduces the total harmonics distortion (THD) in the output voltage and current. Furthermore, the MPC controller demonstrates robustness against potential errors in system parameter estimation through the simulation results.

Control

stability

weighting factor

model predictive control (MPC)

modular multilevel converter (MMC)

Author

Chengjun Tang

Chalmers, Electrical Engineering, Electric Power Engineering

Torbjörn Thiringer

Chalmers, Electrical Engineering, Electric Power Engineering

IEEE Journal of Emerging and Selected Topics in Power Electronics

2168-6777 (ISSN) 2168-6785 (eISSN)

Vol. 12 4 3887-3899

Subject Categories

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/JESTPE.2024.3415491

More information

Latest update

8/13/2024