基于HHT的电力系统低频振荡监测器的研究
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摘要
针对电力系统区域联络线上发生低频功率振荡问题,提出了一种能够快速精确地分解出振荡模态参数的低频振荡监测器。低频振荡监测器的核心是一种改进的希尔伯特-黄变换(Hilbert-Huang transform,HHT)算法,该算法通过给在线录波数据叠加整周期余弦信号,使预处理信号的两端为极值点,解决了EMD分解过程中的"端点效应"问题,通过MATLAB仿真验证了该方法的有效性。
Aimed at the problem of low frequency oscillation on regional link of power system,a low frequency oscillation monitor,which will be able to decompose the vibration modal parameters quickly and accurately,has been presented in this paper. The core of low frequency oscillation monitor is an improved Hilbert-Huang transform( Hilbert-Huang transform,HHT) algorithm. Through adding the full period cosine signal to the online record data,this algorithm will solve the End Effect problem during EMD decomposition process by making both ends of preprocessing signal as the extreme points. Simulation results by MATLAB verify the effectiveness of the proposed method.
Aimed at the problem of low frequency oscillation on regional link of power system,a low frequency oscillation monitor,which will be able to decompose the vibration modal parameters quickly and accurately,has been presented in this paper. The core of low frequency oscillation monitor is an improved Hilbert-Huang transform( Hilbert-Huang transform,HHT) algorithm. Through adding the full period cosine signal to the online record data,this algorithm will solve the End Effect problem during EMD decomposition process by making both ends of preprocessing signal as the extreme points. Simulation results by MATLAB verify the effectiveness of the proposed method.
引文
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[3]齐天,裘焱,吴亚峰.利用聚合经验模态分解抑制振动信号中的模态混叠[J].噪声与振动控制,2010,(2):103-106.QI Tian,QIU Yan,WU Ya-feng.Application of EEMD to Suppression of Mode Mixing in Oscillation Signals[J].Noise and Vibration Control,2010,(2):103-106.
[4]Huang N E,Wu M,Long S,et al.A Confidence Limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis[J].Proc.R.Soc.Lond.A,September,2003,459(2037):2317-2345.
[5]羊初发.基于EMD的时频分析与滤波研究[D].电子科技大学,2009.
[6]Norden E.Huang,Samuel S.p.shen.The Hilbert-Huang Transform and Its Applications,Singapore,World Scientific,2005.
[7]Huang,N.E,and S.R.Long:Normalized Hilbert transform and instantaneous frequency.NASA Patent Pending GSC 2003,14,673-1.
[8]ZHAO J P,HUANG D J.Mirror extending and circular soline function for empirical mode decomposition method[J].Journal of Zhejiang University(Science),2001,2(3):247-252.
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[10]杨建文,贾民平.希尔伯特一黄谱的端点效应分析及处理方法研究[J].振动工程学报,2006,1(2):283-288.YANG Jian-wen,JIA Min-ping.Study on Processing Method and Analysis of End Problem of Hilbert-Huang Spectrum[J].Journal of Vibration Engineering,2006,1(2):283-288.
[11]徐其惠,曹贝贞,雷凯,等.改进经验模态分解阈值算法抑制强窄带干扰[J].电测与仪表,2009,46(10):22-26.XU Qi-hui,CAO Bei-zhen,LEI Kai,et al.Suppressing of PD Signal’s Strong Narrow-band Interference Based on Empirical Mode Decomposition[J].Electrical Measurement and Instrumentation,2009,46(10):22-26.
[12]杜爱明,王彬,杨润海.Hilbert-Huang变换中的一种端点处理方法[J].地震研究,2007,30(1):54-56.DU Ai-ming,WANG Bin,YANG Run-hai.A Boundary-Processing Method in Hilbert-Huang Transform[J].Journal of Seismological Research,2007,30(1):54-56.
[13]梁寿愚,李矛,李鹏,等.基于SCADE数据的实时监测电网低频振荡算法[J].南方电网技术,2007,1(2):40-42.LIANG Shou-yu,LI Mao,LI Peng,et al.Algorithm of Real-Time Detection Low-Frequency Oscillation in Power System Base on the SCADA Data[J].Southern Power System Technology,2007,1(2):40-42.
[2]罗奇峰,石春香.Hilbert-Huang变换理论及其计算中的问题[J].同济大学学报,2003,31(6):637-639.LUO Qi feng,SHI Chun xiang.Hi Ibert-Huang Transform and Several Problems in Its Calculation Method[J].Journal of Tongji University,2003,31(6):637-639.
[3]齐天,裘焱,吴亚峰.利用聚合经验模态分解抑制振动信号中的模态混叠[J].噪声与振动控制,2010,(2):103-106.QI Tian,QIU Yan,WU Ya-feng.Application of EEMD to Suppression of Mode Mixing in Oscillation Signals[J].Noise and Vibration Control,2010,(2):103-106.
[4]Huang N E,Wu M,Long S,et al.A Confidence Limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis[J].Proc.R.Soc.Lond.A,September,2003,459(2037):2317-2345.
[5]羊初发.基于EMD的时频分析与滤波研究[D].电子科技大学,2009.
[6]Norden E.Huang,Samuel S.p.shen.The Hilbert-Huang Transform and Its Applications,Singapore,World Scientific,2005.
[7]Huang,N.E,and S.R.Long:Normalized Hilbert transform and instantaneous frequency.NASA Patent Pending GSC 2003,14,673-1.
[8]ZHAO J P,HUANG D J.Mirror extending and circular soline function for empirical mode decomposition method[J].Journal of Zhejiang University(Science),2001,2(3):247-252.
[9]Grilling,P.Flandrin,P.Goncalves.On empirical mode decomposition and its algorithms[C]IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing,NSIP-03,2003,PP.1-5.
[10]杨建文,贾民平.希尔伯特一黄谱的端点效应分析及处理方法研究[J].振动工程学报,2006,1(2):283-288.YANG Jian-wen,JIA Min-ping.Study on Processing Method and Analysis of End Problem of Hilbert-Huang Spectrum[J].Journal of Vibration Engineering,2006,1(2):283-288.
[11]徐其惠,曹贝贞,雷凯,等.改进经验模态分解阈值算法抑制强窄带干扰[J].电测与仪表,2009,46(10):22-26.XU Qi-hui,CAO Bei-zhen,LEI Kai,et al.Suppressing of PD Signal’s Strong Narrow-band Interference Based on Empirical Mode Decomposition[J].Electrical Measurement and Instrumentation,2009,46(10):22-26.
[12]杜爱明,王彬,杨润海.Hilbert-Huang变换中的一种端点处理方法[J].地震研究,2007,30(1):54-56.DU Ai-ming,WANG Bin,YANG Run-hai.A Boundary-Processing Method in Hilbert-Huang Transform[J].Journal of Seismological Research,2007,30(1):54-56.
[13]梁寿愚,李矛,李鹏,等.基于SCADE数据的实时监测电网低频振荡算法[J].南方电网技术,2007,1(2):40-42.LIANG Shou-yu,LI Mao,LI Peng,et al.Algorithm of Real-Time Detection Low-Frequency Oscillation in Power System Base on the SCADA Data[J].Southern Power System Technology,2007,1(2):40-42.
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