基于HHT风力发电系统谐波检测方法的研究

HHT-based Wind Power System Harmonic Detection

对风力发电系统进行准确的谐波检测具有重要意义。为了克服FFT方法与小波分析方法的缺点,文中提出利用HHT对信号的自适应特性,将HHT用于谐波分析。将谐波信号进行经验模态分解,得到一系列经验模态函数IMF;由于不同的IMF对应不同的谐波分量,通过对每个IMF分量进行Hilbert变换,最终可以得到各次谐波分量;并与前两种方法进行对比。文中介绍的方法在时域和频域同时具有很高的检测精度,为风电谐波检测提出了一种新的思路。

Accurate harmonic detection is important to wind power system. To overcome the shortcomings of FFT and wavelet analysis method, this paper proposes that the HHT can be used in harmonic analysis by means of its adaptive characteristics. The empirical mode decomposition for harmonic signals is made, and a series of empirical mode functions IMF are got. For different IMF corresponding to different harmonics component, through the Hilbert transform of each IMF component, the harmonies component can eventually be got. The method proposed in this paper is a new way for the harmonic detection,and has high detection precision in both time and frequency domain.