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基于HHT的电力系统低频振荡监测器的研究
引用本文:杨培宏,岳立海,亢岚,王国平.基于HHT的电力系统低频振荡监测器的研究[J].电测与仪表,2014,51(21).
作者姓名:杨培宏  岳立海  亢岚  王国平
作者单位:内蒙古科技大学信息工程学院;内蒙古科技大学矿业与煤炭学院;
基金项目:内蒙古自治区高等学校科学研究项目(NJZY14165)
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。

关 键 词:希尔伯特-黄变换  经验模态分解  电力系统低频振荡  监测器
收稿时间:2014/3/19 0:00:00
修稿时间:2014/3/19 0:00:00

The Study on MonitorSof Power System Low Frequency Oscillation Based onHHT Method
YANG Pei-hong,YUE Li-hai,kang lan and wang guo ping.The Study on MonitorSof Power System Low Frequency Oscillation Based onHHT Method[J].Electrical Measurement & Instrumentation,2014,51(21).
Authors:YANG Pei-hong  YUE Li-hai  kang lan and wang guo ping
Affiliation:School of Information Engineering,Inner Mongolia University of Science and Technology,School of Information Engineering,Inner Mongolia University of Science and Technology,.School of Mining and Coal Engineering, Inner Mongolia University of Science and Technology,School of Information Engineering, Inner Mongolia University of Science and Technology
Abstract:Aimed to solve the problem--power systemSSlow frequency oscillationSin area main lines,Sthis paper presents aSdecomposition of power systemSlow frequency oscillationSwhich canS monitorSvibrationS modal parametersSquickly and accurately;SThe coreSof low frequency oscillationSmonitorSis an improved Hilbert-Huang transformS(Hilbert-HuangStransform,SHHT)Salgorithm,Sthe algorithmSthrough the onlineSrecord data superposition integral cycle cosine both ends of the signal,Ssignal preprocessingSis the extreme point. The method has solved the EMDSdecompositionSprocess of "end effect" problem;Sthrough the MATLAB simulationSverifies the effectiveness of the proposed method.
Keywords:HHT  Empirical  Mode Decomposition (EMD)  Power  System Low  Frequency Oscillation  monitor
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