基于同步挤压小波变换的电力系统时变谐波检测
发布时间：2019-01-06 18:28
【摘要】：针对噪声影响下时变谐波检测问题,提出基于同步挤压小波变换(SWT)的检测方法。首先利用SWT算法将混有噪声的时变谐波信号分解为不同的内蕴模态函数分量(IMTs),进而提取出所含谐波分量,然后对每个谐波分量进行Hilbert变换,得到每个本征函数的瞬时频率和幅值及谐波扰动的起止时刻。基于SWT准确的模态分离能力,实现了各谐波的瞬时频率、瞬时幅值和谐波扰动的起止时刻等参数较高精度的获取。与传统的希尔伯特-黄(HHT)方法相比,该方法对于谐波的分离能力更强,对噪声有更强的鲁棒性。仿真及实际数据表明,所提方法在噪声环境下依然能精确提取各个模态,验证了该方法在时变谐波检测分析中的有效性。
[Abstract]:Aiming at the problem of time-varying harmonic detection under the influence of noise, a detection method based on synchronous extrusion wavelet transform (SWT) is proposed. Firstly, the time-varying harmonic signal mixed with noise is decomposed into different intrinsic mode function components (IMTs),) by using SWT algorithm, and then each harmonic component is extracted by Hilbert transform. The instantaneous frequency and amplitude of each eigenfunction and the starting and ending time of harmonic disturbance are obtained. Based on the accurate modal separation ability of SWT, the instantaneous frequency, instantaneous amplitude and the starting and ending time of harmonic disturbance are obtained with high accuracy. Compared with the traditional Hilbert-Huang (HHT) method, this method is more robust to the noise than the traditional Hilbert-Huang (HHT) method. Simulation and actual data show that the proposed method can extract all modes accurately in noise environment, and the effectiveness of the proposed method in time-varying harmonic detection and analysis is verified.
【作者单位】： 武汉科技大学信息科学与工程学院;武汉科技大学理学院;
【基金】：国家自然科学基金(51407131,61671338,61473338) 冶金工业过程系统科学湖北省重点实验室开放基金(Y201506)资助项目
【分类号】：TM935
[Abstract]:Aiming at the problem of time-varying harmonic detection under the influence of noise, a detection method based on synchronous extrusion wavelet transform (SWT) is proposed. Firstly, the time-varying harmonic signal mixed with noise is decomposed into different intrinsic mode function components (IMTs),) by using SWT algorithm, and then each harmonic component is extracted by Hilbert transform. The instantaneous frequency and amplitude of each eigenfunction and the starting and ending time of harmonic disturbance are obtained. Based on the accurate modal separation ability of SWT, the instantaneous frequency, instantaneous amplitude and the starting and ending time of harmonic disturbance are obtained with high accuracy. Compared with the traditional Hilbert-Huang (HHT) method, this method is more robust to the noise than the traditional Hilbert-Huang (HHT) method. Simulation and actual data show that the proposed method can extract all modes accurately in noise environment, and the effectiveness of the proposed method in time-varying harmonic detection and analysis is verified.
【作者单位】： 武汉科技大学信息科学与工程学院;武汉科技大学理学院;
【基金】：国家自然科学基金(51407131,61671338,61473338) 冶金工业过程系统科学湖北省重点实验室开放基金(Y201506)资助项目
【分类号】：TM935
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