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Fault Diagnosis of Doubly Fed Wind Power Generation System Based on Inter-Harmonic

机译:基于谐波间的双馈风力发电系统故障诊断

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By analyzing fault characteristics of stator current in doubly-fed wind power generation system when an electrical fault has occurred, a fault diagnosis method is proposed based on inter-harmonics feature frequency. The method can obtain inter-harmonics feature frequency in different working condition by detecting stator current and analyzing the three-phase current transformed by Hilbert-Huang Transform (HHT). In a fault condition, the fault type and location can be judged by inter-harmonics feature frequency which is produced by different phase. And a doubly-fed wind power generation system is simulated based on MATLAB/Simulink to verify the feasibility of the proposed method. The simulation result shows that in abnormal working conditions, the fault type and location can be determined based on the inter-harmonic feature frequency and HHT method can find feature frequency more accurately and quickly compared with Fast Fourier Transform (FFT), Empirical Mode Decomposition (EMD) and Fast Fourier Transform.
机译:通过分析双馈风力发电系统发生电气故障时定子电流的故障特征,提出了一种基于谐波间特征频率的故障诊断方法。该方法可以通过检测定子电流并分析由希尔伯特-黄(Hilbert-Huang)变换(HHT)变换的三相电流来获得不同工作条件下的谐波间特征频率。在故障状态下,可以通过不同相位产生的谐波间特征频率来判断故障的类型和位置。并基于MATLAB / Simulink对双馈风力发电系统进行了仿真,验证了该方法的可行性。仿真结果表明,与快速傅里叶变换(FFT),经验模态分解(FFT)相比,在异常工作条件下,可根据谐波间特征频率确定故障类型和位置,并且HHT方法可以更准确,更快地找到特征频率。 EMD)和快速傅立叶变换。

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