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Rotor Electrical Fault Detection in DFIGs Using Wide-Band Controller Signals
IEEE Transactions on Sustainable Energy ( IF 8.8 ) Pub Date : 2020-08-05 , DOI: 10.1109/tste.2020.3014446
Nur Sarma , Paul M. Tuohy , Anees Mohammed , Sinisa Djurovic

This paper presents a novel study of the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs) for the identification of rotor electrical faults. The aim is to advance the understanding of diagnostic information obtainable from the readily available DFIG controller signals. Analytical equations defining the controller signals possible spectral contents are derived to enable characterization of spectral signatures and their correlation to operating conditions and rotor faults. The equations are verified in a DFIG harmonic model study and also validated by undertaking a range of experiments on a laboratory DFIG test-rig. It is shown that the calculated, simulated and experimental results are in good agreement with regards to representing fault induced signatures in the examined DFIG controller signals spectra. Furthermore, it is shown that wide-band rotor electrical fault related spectral signatures in the controller signals carry considerable diagnostic potential for recognition of rotor electrical faults.

中文翻译:

使用宽带控制器信号检测DFIG中的转子电气故障

本文对双馈感应发电机(DFIG)的控制器信号中的宽带频谱特征进行了新颖的研究,用于识别转子电气故障。目的是增进对可从容易获得的DFIG控制器信号获得的诊断信息的理解。得出定义控制器信号可能频谱内容的分析方程式,以表征频谱特征及其与运行条件和转子故障的相关性。这些方程在DFIG谐波模型研究中得到了验证,并且还通过在实验室DFIG测试台上进行一系列实验得到了验证。结果表明,模拟和实验结果与在所检查的DFIG控制器信号频谱中表示故障引起的信号有关。此外,还表明,控制器信号中与宽带转子电故障相关的频谱特征具有相当大的诊断潜力,可用于识别转子电故障。
更新日期:2020-08-05
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