Permanent-magnet synchronous generator (PMSG) with direct-drive configuration is attractive for high-power wind energy conversion systems. For such topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stronger parameter robustness. The proposed control strategies are validated and compared with the conventional MPC in Simulink simulation. Index Terms-Wind energy system with PMSG, Three-level neutral point clamped back-to-back converter, Finite control set predictive control, Robust control, Parameter variation, Cascaded model predictive control, Simulink.
(PDF) Cascaded Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems. Available from: https://www.researchgate.net/publication/327307153_Cascaded_Model_Predictive_Control_of_Three-Level_NPC_Back-to-Back_Power_Converter_PMSG_Wind_Turbine_Systems [accessed Sep 21 2018].
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Permanent-magnet synchronous generator (PMSG) with direct-drive configuration is attractive for high-power wind energy conversion systems. For such topology, model predictive control (MPC) has shown to be an promising control strategy. However, the cumbersome process of tuning weighting factors and the weak parameter robustness are the main drawbacks. In this work, a new control structure, as so called cascaded model predictive control is proposed. It avoids using weighting factors and has stron...
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