Model-Based Predictive Direct Power Control of Doubly Fed Induction Generators
Model-Based Predictive Direct Power Control of Doubly Fed Induction Generators
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DOI：
10.1109/tpel.2009.2028139
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发表时间：
2010-02
影响因子：
6.7
通讯作者：
Dawei Zhi;Lie Xu;Barry W. Williams
中科院分区：
文献类型：
--
作者：
Dawei Zhi;Lie Xu;Barry W. Williams
提出了一种双馈感应发电机的预测直接功率控制策略。该方法预测DFIG定子有功和无功功率在固定采样周期内的变化，用于直接计算所需的转子电压，以消除下一个采样周期结束时的功率误差。然后使用空间矢量调制在产生恒定开关频率的固定采样周期内产生所需的开关脉冲。分析了采样延迟对有功和无功采样精度的影响，并提出了具体的补偿方法，以提高功率控制精度和系统稳定性。在1.5kW DFIG系统上的实验结果表明，该控制策略在功率阶跃、转速和电机参数变化时具有较好的控制效果和鲁棒性。跟踪定子功率参考变化的系统性能进一步说明了该方法的动态性能。
This paper presents a predictive direct power control strategy for doubly fed induction generators (DFIGs). The method predicts the DFIG's stator active and reactive power variations within a fixed sampling period, which is used to directly calculate the required rotor voltage to eliminate the power errors at the end of the following sampling period. Space vector modulation is then used to generate the required switching pulses within the fixed sampling period that results in a constant switching frequency. The impact of sampling delay on the accuracy of the sampled active and reactive powers is analyzed, and detailed compensation methods are proposed to improve the power control accuracy and system stability. Experimental results for a 1.5-kW DFIG system demonstrate the effectiveness and robustness of the proposed control strategy during power steps, and variations of rotating speed and machine parameters. System performance for tracking varying stator power references further illustrates the dynamic performance of the proposed method.