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作 者:兰金晨 朱革兰[1] 李松奕 LAN Jinchen;ZHU Gelan;LI Songyi(College of Electric Power,South China University of Technology,Guangzhou 510640,China)
出 处:《电力系统保护与控制》2020年第23期40-46,共7页Power System Protection and Control
基 金:广东省自然科学基金项目资助(2018A030310354)。
摘 要:为解决谐波分析中经验模态分解(EMD)存在模态混叠现象与加窗插值FFT无法准确检测含暂态分量信号的问题,提出一种基于广义S变换突变识别的谐波检测方法。首先,使用广义S变换得到信号的模时频矩阵,根据模时频矩阵中模值较大频带的能量连续性将信号分为稳态、含暂态分量信号。然后,针对两种信号分别使用加hanning窗三谱线插值FFT和基于自适应噪声的完全集合经验模态分解(CEEMDAN)的改进HHT计算谐波和间谐波参数。最后,构建稳态、含幅值突变和频率突变信号的验证表明,该方法能自适应判别稳态、含暂态分量信号,对两种信号均能达到较高检测精度,具有较好的实用性。In order to solve the problem of modal aliasing in Empirical Mode Decomposition(EMD)and the fact that windowed interpolation FFT cannot accurately detect signals with transient components,a harmonic detection method based on generalized S-transform mutation recognition is proposed.First,the generalized S-transform is used to obtain the modular time-frequency matrix of the signal,and the signal is divided into steady-state signals and signals with transient components based on the energy continuity of the larger value frequency band in the modular time-frequency matrix.Then,the harmonic and interharmonic parameters for the two kinds of signals are calculated using the Hanning windowed trispectral interpolation FFT and the modified HHT based on the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN).Finally,the verification of steady-state,amplitude mutation and frequency mutation signals shows that the method can distinguish the steady-state signals and signals with transient components adaptively,achieve high detection accuracy for both signals,and has good practicability.
关 键 词:谐波及间谐波检测 广义S变换 CEEMDAN HHT 加窗插值FFT
分 类 号:TM935[电气工程—电力电子与电力传动]
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