A Computationally-Efficient Quasi-CentralizedDMPC for Back-to-Back Converter PMSG WindTurbine Systems Without DC-link Tracking Errors

Quasi-Centralized Direct Model Predictive Control (QC-DMPC) scheme may serve as an effective alternative for back-to-back power converter in Permanent Magnet Synchronous Generator (PMSG) wind turbine systems. However, model errors and imperfect power efficiency lead to evident DC-link voltage tracking offset. This paper proposes a Revised Quasi-Centralized Direct Model Predictive Control (RQC-DMPC) scheme for back-to-back converter PMSG wind turbine systems, within which, the DC-link voltage is directly controlled by a grid side predictive controller with a flexibly designed cost function using a revised dynamic reference generation concept. The DClink voltage steady status tracking errors are eliminated. To reduce the computational efforts of the classical scheme, a computational efficient concept is incorporated into proposed method. The proposed scheme is implemented on an entirely Field Programmable Gate Array (FPGA) based platform. The effectiveness of the proposed method is verified through experimental data. DC-link control performance comparison with classical Proportional-Integration (PI) controller based methods and the QC-DMPC scheme under different scenarios are also experimentally investigated. The results emphasize the improvement of the proposed RQCDMPC scheme.     «

Quasi-Centralized Direct Model Predictive Control (QC-DMPC) scheme may serve as an effective alternative for back-to-back power converter in Permanent Magnet Synchronous Generator (PMSG) wind turbine systems. However, model errors and imperfect power efficiency lead to evident DC-link voltage tracking offset. This paper proposes a Revised Quasi-Centralized Direct Model Predictive Control (RQC-DMPC) scheme for back-to-back converter PMSG wind turbine systems, within which, the DC-link voltage is...     »