| 利用改进数位演算法和经验模态分解的电力系统低频振荡信号瞬时参数的提取 |
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| 引用本文： | 杨德昌,C.Rehtanz,李勇,屈瑞谦,唐巍.利用改进数位演算法和经验模态分解的电力系统低频振荡信号瞬时参数的提取[J].电网技术,2011(3):63-68. |
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| 作者姓名： | 杨德昌 C.Rehtanz 李勇 屈瑞谦 唐巍 |
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| 作者单位： | 多特蒙德工业大学电力系统与电力经济研究所;中国农业大学信息与电气工程学院; |
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| 摘 要： | 为分析电力系统低频振荡的动态特性,需要提取低频振荡信号的瞬时参数,而电力系统低频振荡信号为非线性时变复合信号,因此参数提取前需要对其进行振荡模态分解。首先结合最小平方误差法提出了改进数位演算方法,以提高信号参数的提取精度;其次应用经验模态分解法对低频振荡信号进行模态分解,确定有效振荡模态;最后根据提取参数可分析电力系统低频振荡的动态特性。算例结果验证了该方法的有效性。
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| 关 键 词： | 低频振荡 经验模态分解 数位演算法 最小平方误差法 瞬时参数 |
An Improved Prototype Algorithm Based on Empirical Mode Decomposition and Its Application in Extracting Instantaneous Parameters of Low Frequency Oscillation |
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| YANG Dechang,C.Rehtanz,LI Yong,QU Ruiqian,TANG Wei.An Improved Prototype Algorithm Based on Empirical Mode Decomposition and Its Application in Extracting Instantaneous Parameters of Low Frequency Oscillation[J].Power System Technology,2011(3):63-68. |
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| Authors: | YANG Dechang CRehtanz LI Yong QU Ruiqian TANG Wei |
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| Affiliation: | YANG Dechang1,C.Rehtanz1,LI Yong1,QU Ruiqian2,TANG Wei2(1.Institute for Power Systems and Power Economics,TU Dortmund University,TU Dortmund 44227,Germany,2.College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China) |
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| Abstract: | To analyze dynamic characteristics of low frequency oscillations occurred in power systems,it is necessary to extract instantaneous parameters of low frequency oscillation,however the signal of low frequency oscillation is a nonlinear time-varying compound signal,so the empirical mode decomposition(EMD) of low frequency oscillation should be performed before the extraction of parameters.Firstly,combining with least square error an improved prototype algorithm is proposed to improve the extraction accuracy;t... |
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| Keywords: | low frequency oscillation empirical mode decomposition(EMD) prototype algorithm least square error method instantaneous parameter |
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