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Performance of MRAS Based Speed Estimators for Grid Connected Doubly fed Induction Machines During Voltage Dips

机译:基于MRA的速度估计的速度估计在电压倾斜期间的双馈电机的速度估计

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Rotor speed is required for the independent control of active power, reactive power and to achieve maximum power and also for pitch control. Speed estimation is preferred rather than sensing from accuracy, cost and reliability point of view. Different Model Reference Adaptive System (MRAS) based speed estimation techniques are available for grid connected doubly fed induction machines. Performance of all the MRAS speed estimators has been studied under normal grid voltage. As per the new grid codes, wind turbine should remain connected to the grid during severe voltage dips [1]. Hence the performance of these speed estimators should also be studied under voltage dips. This paper compares the performances of different MRAS based estimators during voltage dips up to 50% and 5% of the nominal grid voltage. This paper also shows the effect of resistance variation on speed estimation during above mentioned operating conditions. Simulation has been performed in MATLAB/SIMULINK and the results are presented for various speed estimators.
机译:无功率,无功功率的独立控制需要转子速度,并实现最大功率,并且还用于俯仰控制。速度估计是优选的,而不是从准确度,成本和可靠性观察来感测。基于模型参考自适应系统(MRAS)的速度估计技术可用于网格连接的双馈电机。所有MRAS速度估计的性能都在正常电网电压下进行了研究。根据新的网格码,风力涡轮机应在严重的电压倾斜期间保持连接到电网[1]。因此,还应在电压倾斜下进行这些速度估计器的性能。本文将基于MRAS基于MRAS的估计的性能进行了比较高达50%和5%的标称电网电压的估计。本文还显示了在上述操作条件期间电阻变化对速度估计的影响。在MATLAB / SIMULINK中执行了模拟,并且呈现了各种速度估计器的结果。

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