基于改进的经验傅里叶分解电能质量扰动检测方法
摘要：针对经验傅里叶分解(empirical Fourier decomposition, EFD)在分析电能质量扰动时，其频带分割不具自适应的问题，提出了一种改进的EFD方法。首先，利用分段3次Hermite插值提取扰动信号归一化频谱的极大值包络，然后再搜索该包络的极大值，并计算其动态测度，将动态测度大于设定阈值的频率作为扰动信号的特征频率，以相邻特征频率的中点作为扰动信号频带分割的边界；其次，对分割的频带进行快速傅里叶逆变换(inverse fast Fourier transform, IFFT)，得到对应频带的解析傅里叶固有频带函数(analytic Fourier intrinsic band function, AFIBF)；最后，对分解出的各AFIBF分量进行Hilbert变换，提取出其扰动参数。通过对模拟信号和实测数据的分析，验证了所提方法的正确性和有效性。
Abstract:In allusion to the problem that during the analysis on power quality disturbances the frequency band division of empirical Fourier decomposition (abbr. EFD) is not adaptive, an improved FED method was proposed. Firstly, the maximum envelope of normalized spectrum of disturbance signal was extracted by piecewise cubic Hermite interpolation. Secondly, the maximum value of the envelope was searched and it’s dynamic measurement was calculated. Thirdly, the frequency, whose dynamic measurement was greater than the set threshold, was taken as the characteristic frequency of disturbance signal, and the midpoint of adjacent characteristic frequency was taken as the boundary of frequency band segmentation of disturbance signal. Then, the inverse fast Fourier transform (abbr. IFFT) was performed on the divided frequency band to obtain the analytic Fourier intrinsic band function (abbr. AFIBF) of the corresponding frequency band, and then, Hilbert transform (abbr. HT) was applied to the decomposed AFIBF components to extract their disturbance parameters. Finally, through the analysis of simulated signals and real measured data, the correctness and effectiveness of the proposed method were verified.
标题：基于改进的经验傅里叶分解电能质量扰动检测方法
英文标题：Detection Method of Power Quality Disturbance Based on Improved EFD
作者：刘水, 钟振鑫, 陈鸣, 林杰欢, 张扬, 彭祥华, 尹靖元,
关键词：电能质量, 扰动检测, 改进的EFD, 动态测度, 频带分割, Hilbert变换,
发表日期：2023-08-10
- 文件大小:
- 5.34 MB
- 下载次数:
- 60
-
高速下载
|
|
