@inproceedings{9a9d05defcd742ac80c40ed936c73c7c,
title = "Grouping-sorting optimized model predictive control of modular multilevel converter with reduced computational load",
abstract = "Modular Multilevel Converter (MMC) is a promising topology for high voltage/power AC/DC and DC/AC applications. Model Predictive Control (MPC) is an advanced and simple method for power converters control. However, its computational load becomes unacceptable when MMC voltage level increases. Although an optimized MPC proposed for the MMC decreased the number of the possible actuations of each phase from CN2N to N+1 for N+1 levels MMC, which is still difficult for application as the number of submodule for each arm reached hundreds. The Grouping-Sorting algorithm optimized MPC (GSOMPC) is proposed in the paper. The submodule capacitor voltages within the group and among groups are sorted according to the arm current polarity, the proposed GSOMPC decreased the number of the possible actuations of each phase from N+1 to 2X+M+3 (N=M×X) for N+1 levels MMC. The simulation and experimental results based on 25-level MMC verify the correctness and effectiveness of the GSOMPC strategy.",
keywords = "Modular multilevel converter, circulating current, grouping-sorting, model predictive control",
author = "L. Pu and W. Yue and C. Wulong and L. Wanjun",
note = "Publisher Copyright: {\textcopyright} 2015 Korean Institute of Power Electronics.; 9th International Conference on Power Electronics - ECCE Asia, ICPE 2015-ECCE Asia ; Conference date: 01-06-2015 Through 05-06-2015",
year = "2015",
month = jul,
day = "27",
doi = "10.1109/ICPE.2015.7167759",
language = "英语",
series = "9th International Conference on Power Electronics - ECCE Asia: {"}Green World with Power Electronics{"}, ICPE 2015-ECCE Asia",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "9--13",
booktitle = "9th International Conference on Power Electronics - ECCE Asia",
}