TY - JOUR
T1 - Modulated Model Predictive Control of Modular Multilevel Converters Operating in a Wide Frequency Range
AU - Gao, Xiaonan
AU - Pang, Yuebin
AU - Xia, Jinhui
AU - Chai, Na
AU - Tian, Wei
AU - Rodriguez, Jose
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2023/5/1
Y1 - 2023/5/1
N2 - The finite control set model predictive control (FCS-MPC), which considers corresponding instantaneous power in the cost function, becomes a promising solution that allows modular multilevel converters (MMCs) to operate in a wide frequency range due to its ability to balance the internal energy. However, FCS-MPC usually suffers from a heavy computational burden. The modulated MPC, which combines modulation techniques with MPC methods, is usually employed to overcome such a challenge. In this article, we propose an exhaustive active-set method to implement the modulated MPC scheme enabling the MMC to operate over a wide frequency range. With the proposed method, the optimal solution can be obtained by enumerating all possible active sets rather than iterating, so the worst case computational burden (or calculation time) can be determined. Finally, a comparative study of our proposed method with conventional modulated MPC methods and FCS-MPC has been conducted to demonstrate the effectiveness of the proposed method.
AB - The finite control set model predictive control (FCS-MPC), which considers corresponding instantaneous power in the cost function, becomes a promising solution that allows modular multilevel converters (MMCs) to operate in a wide frequency range due to its ability to balance the internal energy. However, FCS-MPC usually suffers from a heavy computational burden. The modulated MPC, which combines modulation techniques with MPC methods, is usually employed to overcome such a challenge. In this article, we propose an exhaustive active-set method to implement the modulated MPC scheme enabling the MMC to operate over a wide frequency range. With the proposed method, the optimal solution can be obtained by enumerating all possible active sets rather than iterating, so the worst case computational burden (or calculation time) can be determined. Finally, a comparative study of our proposed method with conventional modulated MPC methods and FCS-MPC has been conducted to demonstrate the effectiveness of the proposed method.
KW - Active-set method
KW - computational burden reduction
KW - model predictive control (MPC)
KW - modular multilevel converters (MMCs)
UR - http://www.scopus.com/inward/record.url?scp=85133630951&partnerID=8YFLogxK
U2 - 10.1109/TIE.2022.3183354
DO - 10.1109/TIE.2022.3183354
M3 - Article
AN - SCOPUS:85133630951
SN - 0278-0046
VL - 70
SP - 4380
EP - 4391
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 5
ER -