针对间谐波容易被噪声淹没、幅值小等难以提取的问题,首次提出一种基于同步挤压小波变换(synchrosqueezing wavelet transform,SST)的间谐波检测方法。利用SST将含有间谐波的电力信号分解为一组内蕴模态类函数分量(intrinsic mode type functions,IMTs),进而提取出间谐波信号。然后对每个IMTs进行希尔伯特变换,从而获得其瞬时幅值和频率。由于SST准确的模态分离能力,间谐波的瞬时频率和幅值实现了较高精度的获取,与传统的希尔伯特黄变换和小波方法相比,该方法对于频率接近的间谐波的分离能力更强,且对噪声有更强的鲁棒性。仿真和实测数据验证了该方法的有效性,表明其是检测间谐波的有效新方法。
Extracting inter-harmonics from power signals is a difficult problem because it is easily drowned by noise, and the amplitude is often small. A new approach was presented for inter-harmonic analysis based on the synchrosqueezing wavelet transform(SST). The method uses SST to decompose power signals into a series of intrinsic mode type functions(IMTs), and then extracts the inter-harmonics. Amplitudes and frequencies can be achieved applying the Hilbert transform(HT) to the intrinsic mode type. Because of the accurate mode separation of SST, the instantaneous frequency and amplitude of the inter-harmonic were gained precisely by HT. SST improves anti mode-mixing ability and robustness against noise compared to HHT and wavelets. The simulation and actual data test verify the validity of the proposed method, and show that it is a new effective method.