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A Low Voltage Ride Through Strategy of DFIG based on Explicit Model Predictive Control
International Journal of Electrical Power & Energy Systems ( IF 5.2 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.ijepes.2019.105783
Jia Luo , Haoran Zhao , Shuning Gao , Mingzhe Han

Abstract 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.

中文翻译:

基于显式模型预测控制的双馈电机低电压穿越策略

摘要 本文提出了一种基于显式模型预测控制 (E-MPC) 的改进退磁控制,以提高双馈感应发电机 (DFIG) 的低电压穿越 (LVRT) 能力。通过注入额外的转子电流分量,退磁控制可以有效地消除自由和负磁通以避免转子转换器饱和。传统的退磁控制是基于固定比例因子的,对于不同的故障条件,其控制性能无法得到保证。所提出的 E-MPC 方法可以充分挖掘转子侧变流器的潜力。此外,E-MPC 的控制参数是离线导出的,在线控制非常有效。此外,所提出的 E-MPC 结构简单且易于实现。在 Matlab/Simulink 中详细介绍并验证了所提出的 E-MPC 的机制。结果表明,所提出的控制方案具有良好的性能,可以提高双馈电机在各种故障条件下,尤其是不平衡故障下的低电压穿越能力。
更新日期:2020-07-01
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