Model predictive current control of three-level NPC back-to-back power converter PMSG wind turbine systems
Model predictive current control of three-level NPC back-to-back power converter PMSG wind turbine systems
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DOI：
10.1109/ipemc.2016.7512507
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Zhenbin Zhang;Xinbo Cai;R. Kennel;Fengxiang Wang
中科院分区：
文献类型：
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作者：
Zhenbin Zhang;Xinbo Cai;R. Kennel;Fengxiang Wang
采用三电平中性点夹紧（3L-NPC）背对背变换器和直驱系统的PMSG风力发电系统具有良好的性能，是大功率风能应用的理想解决方案。直接模型预测控制已成为电力电子和电气驱动的可行替代方案。本文提出了一种直接模型预测电流控制（DMPCC）解决方案，用于PMSG风力发电系统中并网3L-NPC背靠背功率变流器的电网和发电机侧控制。所提出的DMPCC全部在αβ框架中实现，并在完全基于FPGA的平台上用实验结果进行了评估。实验结果表明，与传统的基于开关表的DTC-DPC技术相比，该方法具有较好的稳态控制性能。
PMSG wind turbine system configured with three-level neutral-point-clamped (3L-NPC) back-to-back power converter and direct-drive train has good properties and is a nice solution for high power wind energy applications. Direct model predictive control has emerged as a viable alternative for power electronics and electrical drives. This work presents a direct model predictive current control (DMPCC) solution for both the grid and generator side control of grid-connected 3L-NPC back-to-back power converters in PMSG wind turbine systems. The presented DMPCC is realized all in αβ frame and evaluated all with experimental results on a fully FPGA based platform. Experimental results confirm both its effectiveness and its better steady state control performances in comparison with the conventional switching table based DTC-DPC technique.