Dynamic Sequential Model Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems

被引:0
|
作者
Cui, Zhufeng [1 ]
Zhang, Zhenbin [1 ]
Dragicevic, Tomislav [2 ]
Rodriguez, Jose [3 ]
机构
[1] Shandong Univ, Dept Elect Engn, Jinan, Peoples R China
[2] Aalborg Univ, Dept Energy Technol, Aalborg, Denmark
[3] Univ Andres Bello Chile, Fac Ingn, Santiago 8370146, Chile
基金
中国国家自然科学基金;
关键词
Permanent-magnet synchronous generator wind turbine systems; model predictive control; dynamic sequential model predictive control; weighting factors design;
D O I
10.1109/iecon43393.2020.9255096
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of the high-power wind turbine systems, permanent-magnet synchronous generator with direct-drive configuration is attractive for high-power wind energy conversion systems. As one of the key technologies of wind energy conversion, control technology plays an important role in the performance of wind power systems. Due to its excellent dynamic performance and multi-objective control, model predictive control has become an alternative and promising method. However, the cumbersome process of tuning weighting factors is its main drawback. In this work, a new control structure, as so-called dynamic sequential model predictive control is proposed. It avoids using weighting factors and overcomes the drawbacks of sequential model predictive control. The proposed control strategies are validated and compared with the sequential model predictive control in Plecs simulation.
引用
收藏
页码:3206 / 3211
页数:6
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