期刊文献+

EMD法在提取电力系统低频振荡特性中的应用 被引量:5

Application of EMD in Drawing Characteristic of Low Frequency Oscillation in Power System
下载PDF
导出
摘要 经验模态分解方法是一种全新的非平稳信号分析方法,根据低频振荡信号的非平稳特性,介绍了经验模态分解方法应在低频振荡特性分析中的应用。仿真结果表明,该方法可以准确提取系统的低频振荡特征。 Empirical mode decomposition (EMD)method is a novel non-stationary signal analysis method. Based on the non-stationary characteristic of low frequency oscillation signal, this paper introduces the application of EMD method in analyzing the characteristic of low frequency oscillation. The simulation results showed that this method can accurately draw the characteristic of the low frequency oscillation in power system.
出处 《华北电力技术》 CAS 2008年第1期23-26,共4页 North China Electric Power
关键词 经验模态分解 电力系统 低频振荡 振荡模式 empirical mode decomposition power system low frequency oscillation oscillation model
  • 相关文献

参考文献8

  • 1P.Kundur.电力系统稳定与控制[M].北京:中国电力出版社,2002.
  • 2Thapar J,Vittal V,Kliemann W,et al.Application of the normal form of vector fields to predict interarea separation in power system[J].IEEE Transactions on Power Systems,1997,12 (2):844-850.
  • 3邓集祥,华瑶,张芳.振荡模式非线性相关作用的研究[J].电力系统自动化,2003,27(16):35-39. 被引量:26
  • 4Huang N E,Shen Z,Long S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis.Proceeding of the R oyal Society of Lond on,A,1998,454:903-995.
  • 5Huang N E,Shen Z,Long S R.A new View of nonlinear water waves:the Hilert spectrum[J].Annu.Rev.Fluid Mech,1999,31:417-457.
  • 6王铁强,贺仁睦,徐东杰,王昕伟.Prony算法分析低频振荡的有效性研究[J].中国电力,2001,34(11):38-41. 被引量:75
  • 7张鹏飞,薛禹胜,张启平.电力系统时变振荡特性的小波脊分析[J].电力系统自动化,2004,28(16):32-35. 被引量:74
  • 8Mallat S.杨力华等译.信号处理的小波导论[M].北京:机械工业出版社,2002.

二级参考文献14

  • 1赵书强.电力系统振荡模式分析与控制的分群等值方法研究[M].华北电力大学,1999..
  • 2Arrowsmith D. K, Place C M. An Introduction to Dynamic Systems. Cambridge: Cambridge University Press, 1990.
  • 3Lin C M, Vittal V, Kliemann W, et al. Investigation of Modal Interaction and Its Effects on Control Performance in Stressed Power Systems Using Normal Forms of Vector Fields. IEEE Trans on Power Systems, 1996,11(2):781-787.
  • 4Starrett S K, Fouad A A. Nonlinear Measures of Mode-machine Participation. IEEE Trans on Power Systems, 1998, 13(2): 389-394.
  • 5Thapar J, Vittal V, Kliemann W, et al. Application of the Normal Form of Vector Fields To Predict Interarea Separation in Power Systems. IEEE Trans on Power Systems, 1997, 12(2):844-850.
  • 6Zhu Songzhe, Vittal V, Kliemann W. Analyzing Dynamic Performance of Power Systems over Parameter Space Using Normal Forms of Vector Fields. IEEE Trans on Power Systems,2001,16(3) : 444-450.
  • 7Grund CE, Paserba J J, Hauer JF, et al. Comparison of Prony and Eigenanalysis for Power System Control Design. IEEE Trans on Power Systems, 1993, 8(3): 964-971
  • 8O'Shea P. The Use of Sliding Spectral Windows for Parameter Estimation in Power System Disturbance Monitoring. IEEE Trans on Power Systems, 2000, 15(4): 1261-1267
  • 9Delprat N, Escudie B, Guillemain P, et al. Asymptotic Wavelet and Gabor Analysis: Extraction of Instantaneous Frequencies.IEEE Trans on Information Theory, 1992, 38(2): 644-664
  • 10Cohen L. Time-frequency Analysis. Englewood Cliffs (NJ): Prentice Hall, 1995

共引文献158

同被引文献78

引证文献5

二级引证文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部