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Sensorless Optimal Power Control of Doubly Fed Induction Wind Generator Based on Extended Kalman Filter Full text in English

机译:基于扩展卡尔曼滤波器的双馈感应风力发电机无传感器最优功率控制全文

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In this paper present a sensorless optimal power point tracking control of doubly-fed induction generators (DFIG) in Wind Energy Conversion System (WECS) without speed sensors based of a application of the extended Kalman filter (EKF) for estimation of rotor speed and without wind speed measurements based of the characteristic curve of the wind turbine aerofoil, the Doubly Fed Induction Generator (DFIG) connected to the grid through back-to-back converters in the rotor circuit. Rotor-side converter adopts the stator flux oriented vector control (technique) and the Grid-side converter adopts grid voltage oriented control scheme for achieving the DC link voltage constant, unity power factor of grid-side and bi-direction power flow between the rotor and the grid.The simulation results in MATLAB/Simulink platform verify the good static and dynamic performance of this sensorless power control for DFIG in variable speed wind turbines.
机译:在本文中,基于扩展卡尔曼滤波器(EKF)的应用,在无速度传感器的情况下,提出了一种在无速度传感器的风能转换系统(WECS)中的双馈感应发电机(DFIG)的无传感器最优功率点跟踪控制风速测量基于风力机翼型的特性曲线,双馈感应发电机(DFIG)通过转子电路中的背靠背转换器连接到电网。转子侧变流器采用定子磁链定向矢量控制(技术),电网侧变流器采用电网电压定向控制方案,以实现直流环节电压常数,电网侧的统一功率因数和转子之间的双向潮流。在MATLAB / Simulink平台上的仿真结果验证了这种无传感器功率控制DFIG在变速风力涡轮机中的良好静态和动态性能。

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