Three-Vectors-Based Predictive Direct Power Control of the Doubly Fed Induction Generator for Wind Energy Applications
Three-Vectors-Based Predictive Direct Power Control of the Doubly Fed Induction Generator for Wind Energy Applications
复制标题
用于风能应用的双馈感应发电机的基于三矢量的预测直接功率控制
DOI：
10.1109/tpel.2013.2282405
复制
发表时间：
2014-07
影响因子：
6.7
通讯作者：
Jianguo Zhu
中科院分区：
文献类型：
--
作者：
Yongchang Zhang;Jiefeng Hu;Jianguo Zhu
针对基于双馈感应发电机(DFIG)的风能转换系统，提出了一种简单而有效的预测直接功率控制(PDPC)方法。该方法能够在较低的开关频率下工作，并具有良好的稳态和动态性能，适用于大功率风能应用。在一个控制周期内选择并应用三个矢量，以减小有功和无功纹波。与以往使用两个切换表的基于三向量的技术相比，该方法只需要一个统一的切换表就可以获得三个向量。此外，每个向量的持续时间是以一种简单而直接的方式获得的。通过适当安排三个矢量的开关顺序，可以显著降低开关频率。文中还研究了数字实现引起的一步延迟的影响。文中还简要讨论了在电网电压不平衡情况下运行的可能性。与现有的基于三向量的ART算法进行了比较，并通过2 MW-DFIG系统的仿真结果和实验室实验结果验证了其有效性。
This paper proposes a simple but very effective method to achieve the predictive direct power control (PDPC) for doubly fed induction generator (DFIG)-based wind energy conversion systems. The novel approach is able to operate at low switching frequency and provides excellent steady-state and dynamic performances, which are useful for high-power wind energy applications. Three vectors are selected and applied during one control period to reduce both active and reactive power ripples. Compared to prior three-vectors-based art using two switching tables, the novel approach only needs one unified switching table to obtain the three vectors. Furthermore, the duration of each vector is obtained in a much simpler and straightforward way. The switching frequency can be significantly reduced by appropriately arranging the switching sequence of the three vectors. The influence of one step delay caused by digital implementation is also investigated. The possibility of operating the proposed PDPC under unbalanced grid voltage is also briefly discussed. The novel PDPC is compared with prior three-vectors-based art and its effectiveness is confirmed by the simulation results from a 2-MW-DFIG system and the experimental results from a scaled-down laboratory setup.
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双馈感应发电机的预测直接虚拟扭矩和功率控制，实现快速、平稳的电网同步和灵活的功率调节
影响因子：
6.7
作者：
Yongchang Zhang;Platt G.;Qishuang Ma;Dorrell D. G.
通讯作者：
Dorrell D. G.
影响因子：
6.7
作者：
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通讯作者：
Dawei Zhi;Lie Xu;Barry W. Williams
影响因子：
7.7
作者：
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通讯作者：
Yongchang Zhang;Jianguo Zhu;Wei Xu;Youguang Guo
影响因子：
6.7
作者：
V. Blasko;V. Kaura
通讯作者：
V. Blasko;V. Kaura
影响因子：
6.7
作者：
R. Datta;V. Ranganathan
通讯作者：
R. Datta;V. Ranganathan