秦榛, 武长青, 刘振华, 王浩文. 基于改进HHT的故障电流相位抗干扰提取[J]. 电力信息与通信技术, 2022, 20(2): 69-75. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.010
引用本文: 秦榛, 武长青, 刘振华, 王浩文. 基于改进HHT的故障电流相位抗干扰提取[J]. 电力信息与通信技术, 2022, 20(2): 69-75. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.010
QIN Zhen, WU Changqing, LIU Zhenhua, WANG Haowen. Anti Interference Extraction of Fault Current Phase Based on Improved Hilbert-Huang Transform[J]. Electric Power Information and Communication Technology, 2022, 20(2): 69-75. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.010
Citation: QIN Zhen, WU Changqing, LIU Zhenhua, WANG Haowen. Anti Interference Extraction of Fault Current Phase Based on Improved Hilbert-Huang Transform[J]. Electric Power Information and Communication Technology, 2022, 20(2): 69-75. DOI: 10.16543/j.2095-641x.electric.power.ict.2022.02.010

基于改进HHT的故障电流相位抗干扰提取

Anti Interference Extraction of Fault Current Phase Based on Improved Hilbert-Huang Transform

  • 摘要: 针对传统分析方法难以分析非线性非稳态电网实测信号的缺点,文章提出了一种基于希尔伯特–黄变换(Hilbert-Huang Transform,HHT)提取电流相位的方法。为应对经验模态分解(Empirical Mode Decomposition,EMD)在分解过程中普遍存在的模态混叠现象,该方法通过添加基于原电流信号相关参数构造的辅助信号,将新电流信号分解为一系列固有模态函数(Intrinsic Mode Functions,IMF),若模态混迭现象去除,则将高频信号滤除,若未去除,迭代新辅助信号进行分析直至去除,提取已去除模态混叠的基频信号所在相应IMF分量,对其进行Hilbert变换,即可求得基频信号相位。通过MATLAB模拟实际电网中存在的电压暂降、谐波干扰等故障信号, 仿真结果验证了此方法对相位提取的有效性和精度。

     

    Abstract: In view of the fact that traditional analysis method is hard to analyze the non-linear and non-stationary power grid signal, a method of extracting current phase based on Hilbert Huang transform (HHT) is proposed. In response to the ubiquitous mode mixing phenomenon of empirical modal decomposition (Empirical Mode Decomposition, EMD) during decomposition, this method decomposes the new current signal into a series of intrinsic mode functions(Intrinsic Mode Functions, IMF) through adding auxiliary signals based on the relevant parameters of the original current signal. If the mode mixing phenomenon is removed, the high-frequency signal will be filtered. If not, the new auxiliary signal will be iterated for analysis until the phenomenon is removed. The IMF component of the fundamental frequency signal with the mode mixing removed will be extracted, and the phase of the fundamental frequency signal can be obtained by Hilbert transform. Matlab is used to simulate the voltage sag, harmonic interference and other fault signals in the actual power grid, and the simulation results verify the effectiveness and accuracy of this method for phase extraction.

     

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