期刊文献+

Prony和HHT在低频振荡参数提取中的比较研究 被引量:2

Comparative Study of Prony and HHT Applicability in Low Frequency Oscillation Parameter Extraction
原文传递
导出
摘要 对Prony和HHT这两种常用的基于量测信号的低频振荡模态参数辨识方法进行了对比研究。在介绍两种方法基本原理的基础上,分析了两种方法的差别。通过合成信号和实测信号的测试,对比了两种方法的性能和对各种信号的适应性。最后根据实验结果得出一些一般性的结论。 This paper compares between Prony and HHT,the two methods commonly applied to identify the low frequency oscillation modal parameters based on the measured signals.The basic principles of the two methods,as well as their differences,are described.Synthetic and measured signals have been tested in order to compare their performance and adaptability to various signals.Finally some general conclusions are drawn based on the test results.Prony;HHT;empirical mode decomposition;low frequency oscillation;oscillation mode;comparison
出处 《华东电力》 北大核心 2012年第10期1719-1723,共5页 East China Electric Power
基金 四川大学青年教师科研启动基金资助(2012SCU11003)~~
关键词 PRONY HHT 经验模态分解 低频振荡 振荡模式 比较 Scientific Research Foundation of Sichuan University Young Teachers(2012SCU11003)
  • 相关文献

参考文献9

二级参考文献68

共引文献474

同被引文献31

  • 1肖晋宇,谢小荣,胡志祥,韩英铎.电力系统低频振荡在线辨识的改进Prony算法[J].清华大学学报(自然科学版),2004,44(7):883-887. 被引量:110
  • 2Kunder P.Power system stability and control[M].New York(USA):McGraw-Hill Incorporated,1994.
  • 3Hauer J F,Demeure C J,Scharf L L.Initial results in prony analysis of power response signals[J].IEEE Transactions on Power Systems,1990,5(1):80-89.
  • 4Pierre J W,Trudnowski D J,Donnelly M K.Initial results in electromechanical mode identification from ambient data[J].IEEE Transactions on Power Systems,2001,12(3):1245-1251.
  • 5Wies R W,Pierre J W,Trundnowski D J.Use of ARMA block processing for estimating stationary low-frequency electromechanical modes of power systems[J].IEEE Transactions on Power Systems,2003,18(1):167-173.
  • 6Wu Chao,Lu Chao,Wang Tian,et al.Ambient signals based power system oscillation modes identification considering model order selection[C]//Proceedings of Power & Energy Society General Meeting.Calgary (Canada):IEEE Press,2009:1-7.
  • 7Kamwa I,Trudel G,Gerin-Lajoie L.Low-order black-box models for control system design in large power systems[J].IEEE Transactions on Power Systems,1996,11(1):303-311.
  • 8Sanchez-Gasca J J,Chow J H.Performance comparison of three identification methods for the analysis of electromechanical oscillations[J].IEEE Transactions on Power Systems,1999,14(3):995-1001.
  • 9Trudnowski D,Pierre J W,Zhou N,et al.Performance of three mode-meter block-processing algorithms for automated dynamic stability assessment[J].IEEE Transactions on Power Systems,2008,23(2):680-690.
  • 10Scharf L.Statistical signal processing:detection,estimation,and time series analysis[M].New York(USA):Addison-Wesley Publishing Company,1991.

引证文献2

二级引证文献3

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