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18 / 2025-01-19 13:51:03
Model Predictive Control with Circulation Suppression for MMC
MMC,Model predictive control,circulation suppression
Review group 6
Final Paper
Yuhui Zheng / Fuzhou University；College of Electrical Engineering and Automation
Yujing Lin / Fuzhou University；Maynooth International Engineering College
Qinqin Chai / Fuzhou University；College of Electrical Engineering and Automation
Ruochen Huang / Fuzhou University；College of Electrical Engineering and Automation
Qiongbin Lin / Fuzhou University；College of Electrical Engineering and Automation
Chuanwei Lin / Power China Fujian Electric Power Engineering Co ,LTD.
Abstract—Model predictive control (MPC) is increasingly employed in modular multilevel converters (MMC) control due to its flexible management and rapid response capabilities. It is still challenging to minimize the computational load due to its large-scale sub-modules. To address this issue, this paper introduces an improved model prediction algorithm based on sub-control sets. The proposed control strategy is derived from the discrete model of the MMC. It also considers the inhibitory effects on bridge arm circulation. The objective function for finite control set model predictive control (FCS-MPC) is formulated to effectively tackle multi-objective control challenges. The algorithm not only reduces computational demands but also demonstrates strong control performance with respect to the AC side current and circulating current. The proposed method improves the current harmonic distortion (THD) suppression rate by 1.6% compared to traditional method, thereby validating the effectiveness of the introduced control strategy.
Important Date

  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University
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