Enhanced Deadbeat Control-Model Predictive Control Strategy of Grid-Connected Power Converters With LCL Filter

• Published in: IEEE transactions on industrial electronics (1982) 2024-12, Vol.71 (12), p.15826-15834
• Main Authors: Zhang, Bingtao, Wu, Weimin, Chen, Yanqi, Gao, Ning, Chen, Jianming, Koutroulis, Eftichios, Chung, Henry Shu-Hung, Liserre, Marco, Blaabjerg, Frede
• Format: Article
• Language: English
• Subjects: Algorithms; Capacitors; Control algorithms; Control theory; Deadbeat control (DBC); Electric potential; finite control set model predictive control 28 (FCS-MPC); grid-connected 29 converter; Inductors; LCL filter; Mathematical models; Performance degradation; Power converters; Prediction algorithms; Predictive control; Switches; Tracking errors; Vectors; Voltage; Voltage control
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2024.3390735

The traditional deadbeat control-model predictive control (DBC-MPC) algorithm is often adopted to reduce the computational requirements. However, for the selection of the expected voltage vector for a grid-connected power converter with an inductor-capacitor-inductor (LCL) filter, only the current tracking error of the traditional DBC-MPC algorithm has been addressed, while the influence of the filter capacitor voltage tracking error was ignored. Therefore, the calculated output voltage vector of the power converter may deviate from the expected value, degrading the system control performance. In this article, an enhanced DBC-MPC control strategy is proposed. The tracking error of the filter capacitor voltage is also considered, which effectively enhances the performance of the control algorithm. Compared with the traditional DBC-MPC algorithm, the output current THD is reduced by more than 56%. An experimental platform of a three-phase two-level grid-connected power converter with LCL filter is established to evaluate the feasibility and effectiveness of the proposed enhanced DBC-MPC control strategy.