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A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control

机译:基于显式模型预测控制的DFIG策略,低电压骑行

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摘要

In this paper, an improved demagnetization control, based on Explicit Model Predictive Control (E-MPC) is proposed to improve Low Voltage Ride Through (LVRT) capability of Doubly Fed Induction Generators (DFIGs). By injecting an additional rotor current component, the demagnetization control can efficiently eliminate the free and negative flux to avoid saturation of the rotor converter. The conventional demagnetization control is based on fixed scaling factors, whose control performance can't be guaranteed for different fault conditions. The proposed E-MPC approach can fully explore the potential of rotor side converter. Besides, the control parameters of E-MPC are derived offline and very efficient for online control. In addition, the proposed E-MPC structure is simple and easy to be implemented. The mechanism of proposed E-MPC is presented in detail and verified in Matlab/Simulink. The results show that the proposed control scheme has a good performance and can improve the LVRT capability of DFIGs under various fault conditions, especially unbalanced faults.
机译:本文提出了一种基于显式模型预测控制(E-MPC)的改进的退磁控制,以改善双馈感应发电机(DFIG)的低电压乘坐(LVRT)能力。通过注入额外的转子电流部件,去磁控制可以有效地消除自由和负磁通,以避免转子转换器的饱和。传统的退磁控制是基于固定的缩放因子,其控制性能不能保证不同的故障条件。所提出的E-MPC方法可以完全探索转子侧转换器的电位。此外,E-MPC的控制参数被离线导出,非常有效地进行在线控制。此外,所提出的E-MPC结构简单易于实现。提出的E-MPC的机制详细介绍并在MATLAB / Simulink中验证。结果表明,该控制方案具有良好的性能,可以在各种故障条件下提高DFIG的LVRT能力,尤其是不平衡的故障。

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