搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于经验模态分解滤波的低频振荡Prony分析

侯王宾 刘天琪 李兴源

引用本文:
Citation:

基于经验模态分解滤波的低频振荡Prony分析

侯王宾, 刘天琪, 李兴源

Prony analysis of low frequency oscillations based on empirical mode decomposition filtering

Hou Wang-Bin, Liu Tian-Qi, Li Xing-Yuan
PDF
导出引用
  • 传统Prony法在分析低频振荡时对输入信号要求较高,存在着对噪声敏感的弱点.因此提出一种经验模态分解滤波和改进Prony法相结合的低频振荡分析方法.该方法先用经验模态分解对低频振荡信号进行自适应滤波,再用改进Prony法对滤波后的信号进行分析.其中,改进Prony法有效阶数用归一化奇异值法确定.将该方法分别用于分析试验信号和IEEE 4机系统振荡信号,并与基于低通滤波器的Prony分析进行比较.结果表明,在较大噪声环境下,该方法仍然能相对准确的辨识出低频振荡主导模式,验证了其有效性.
    Since traditional Prony analysis of low frequency oscillations has strict requirements to the input signal and is sensitive to the noise of data, this paper proposes a empirical mode decomposition filtering and Prony analysis combined method for low frequency analysis. In this method, empirical mode decomposition is used to adaptively filter the noise of the input signals before improved Prony analysis is carried out. The order of improved Prony analysis is determined by the normalized singular value method. This method is applied to analyze the test signal and the IEEE 4-machine system oscillation signals, and compared with the Prony analysis based on low pass filter. The simulation shows the effectiveness of this method which indicates that the result of the analysis is good even in highly noisy environment.
    • 基金项目: 国家科技支撑计划项目(批准号:2008BAA13B01)资助的课题.
    [1]

    [1]Wang X F, Fang W L, Du Z C 2003 Modern power system analysis (1st ed) (Beijing: Science Press)p399—420(in Chinese)[王锡凡、方万良、杜正春 2003 现代电力系统分析(第一版)(北京:科学出版社)第399—420页]

    [2]

    [2]Xue Y S, Hao S P, Liu J Y, Dong Z, Ledwich G 2009 Automation of Electric Power Systems 33 1 (in Chinese)[薛禹胜、郝思鹏、刘俊勇、Dong Z、Ledwich G 2009 电力系统自动化 33 1]

    [3]

    [3]Wang T Q, He R M, Xu D J,Wang X W 2001 Electric Power 34 38 (in Chinese)[ 王铁强、贺仁睦、徐东杰、王昕伟 2001 中国电力 34 38]

    [4]

    [4]Zhang X D 2002 Modern Signal Processing (2nd ed) (Beijing: Tsinghua University Press) p119—125 (in Chinese)[张贤达 2002 现代信号处理(第二版)(北京:清华大学出版社)第119—125页]

    [5]

    [5]Grund C E, Paserba J J, Hauner J F , Nilsson S 1993 IEEE Trans on Power Systems 8 964

    [6]

    [6]Johnson M A, Zarafonitis I P, Call Igaris M 2000 Proceedings of IEEE Power Engineering Society Summer Meeting Seattle , WA , USA. Piscataway, NJ, USA Jul 16-20, 2000 p1918

    [7]

    [7]Xiong J J,Xing W R,Wan Q L 2008 Journal of Southeast University (Sci&Tech). 38 64 (in Chinese)[ 熊俊杰、邢卫荣、万秋兰 2008 东南大学学报(自然科学版) 38 64]

    [8]

    [8]Li D H, Cao Y J 2007 Automation of Electric Power Systems 31 14 (in Chinese) [李大虎、曹一家 2007电力系统自动化 31 14]

    [9]

    [9]Liu S, Zhao S Q, Yu Z M, Ma Y F 2007 Electric Power Automation Equipment 27 64 (in Chinese) [刘森、赵书强、于赞梅、马燕峰 2007 电力自动化设备 27 64]

    [10]

    ]Zhao W W, Zeng X W 2008 Electronic Science and Technology 21 30 (in Chinese) [赵雯雯、曾兴雯 2008 电子科技 21 30]

    [11]

    ]Sun Y Z,Huang W,Yu B 2007 Journal of University of Electronic Science and Technology of China. 36 24 (in Chinese)[ 孙艳争、黄炜、余波 2007 电子科技大学学报 36 24]

    [12]

    ]Li Q 2008 Master. Dissertation (Wuhan: Central China Normal University) (in Chinese)[李卿 2008 硕士学位论文 (武汉:华中师范大学)]

    [13]

    ]Huang N E 1998 Proc.R.Soc.Lond 45 903

    [14]

    ]Yang Y F,Wu Y F,Ren X M,Qin W Y,Zhi X Z,Qiu Y 2008 Acta Phys. Sin. 58 3742(in Chinese)[杨永锋、吴亚锋、任兴民、秦卫阳、支希哲、裘焱 2008 物理学报 58 3742]

    [15]

    ]Gong Z Q,Zhou M W,Gao X Q,Dong W J 2005 Acta Phys. Sin. 54 3947(in Chinese)[龚志强、邹明玮、高新全、董文杰 2005 物理学报 54 3947]

    [16]

    ]Yang Y F, Ren X M,Qin W Y, Wu Y F,Zhi X Z 2008 Acta Phys. Sin. 57 6139 (in Chinese)[杨永锋、任兴民、秦卫阳、吴亚锋、支希哲 2008 物理学报 57 6139]

    [17]

    ]Xiong J J,Wan Q L, Zheng S J, Xu X 2007 Jiangxi Electric Power 31 16 (in Chinese) [熊俊杰、万秋兰、郑蜀江、徐贤 2007 江西电力 31 16]

    [18]

    ]Kundur P 1994 Power system stability and control(1st ed) (New York: McGraw-Hill Inc)

    [19]

    ]Xu Z 2004 Dynamic behavior analysis of AC-DC power system(1st ed)(Beijing: Machinery Industry Press)p153—155(in Chinese) [徐政 2004 交直流电力系统动态行为分析(第一版)(北京:机械工业出版社)第153—155页]

  • [1]

    [1]Wang X F, Fang W L, Du Z C 2003 Modern power system analysis (1st ed) (Beijing: Science Press)p399—420(in Chinese)[王锡凡、方万良、杜正春 2003 现代电力系统分析(第一版)(北京:科学出版社)第399—420页]

    [2]

    [2]Xue Y S, Hao S P, Liu J Y, Dong Z, Ledwich G 2009 Automation of Electric Power Systems 33 1 (in Chinese)[薛禹胜、郝思鹏、刘俊勇、Dong Z、Ledwich G 2009 电力系统自动化 33 1]

    [3]

    [3]Wang T Q, He R M, Xu D J,Wang X W 2001 Electric Power 34 38 (in Chinese)[ 王铁强、贺仁睦、徐东杰、王昕伟 2001 中国电力 34 38]

    [4]

    [4]Zhang X D 2002 Modern Signal Processing (2nd ed) (Beijing: Tsinghua University Press) p119—125 (in Chinese)[张贤达 2002 现代信号处理(第二版)(北京:清华大学出版社)第119—125页]

    [5]

    [5]Grund C E, Paserba J J, Hauner J F , Nilsson S 1993 IEEE Trans on Power Systems 8 964

    [6]

    [6]Johnson M A, Zarafonitis I P, Call Igaris M 2000 Proceedings of IEEE Power Engineering Society Summer Meeting Seattle , WA , USA. Piscataway, NJ, USA Jul 16-20, 2000 p1918

    [7]

    [7]Xiong J J,Xing W R,Wan Q L 2008 Journal of Southeast University (Sci&Tech). 38 64 (in Chinese)[ 熊俊杰、邢卫荣、万秋兰 2008 东南大学学报(自然科学版) 38 64]

    [8]

    [8]Li D H, Cao Y J 2007 Automation of Electric Power Systems 31 14 (in Chinese) [李大虎、曹一家 2007电力系统自动化 31 14]

    [9]

    [9]Liu S, Zhao S Q, Yu Z M, Ma Y F 2007 Electric Power Automation Equipment 27 64 (in Chinese) [刘森、赵书强、于赞梅、马燕峰 2007 电力自动化设备 27 64]

    [10]

    ]Zhao W W, Zeng X W 2008 Electronic Science and Technology 21 30 (in Chinese) [赵雯雯、曾兴雯 2008 电子科技 21 30]

    [11]

    ]Sun Y Z,Huang W,Yu B 2007 Journal of University of Electronic Science and Technology of China. 36 24 (in Chinese)[ 孙艳争、黄炜、余波 2007 电子科技大学学报 36 24]

    [12]

    ]Li Q 2008 Master. Dissertation (Wuhan: Central China Normal University) (in Chinese)[李卿 2008 硕士学位论文 (武汉:华中师范大学)]

    [13]

    ]Huang N E 1998 Proc.R.Soc.Lond 45 903

    [14]

    ]Yang Y F,Wu Y F,Ren X M,Qin W Y,Zhi X Z,Qiu Y 2008 Acta Phys. Sin. 58 3742(in Chinese)[杨永锋、吴亚锋、任兴民、秦卫阳、支希哲、裘焱 2008 物理学报 58 3742]

    [15]

    ]Gong Z Q,Zhou M W,Gao X Q,Dong W J 2005 Acta Phys. Sin. 54 3947(in Chinese)[龚志强、邹明玮、高新全、董文杰 2005 物理学报 54 3947]

    [16]

    ]Yang Y F, Ren X M,Qin W Y, Wu Y F,Zhi X Z 2008 Acta Phys. Sin. 57 6139 (in Chinese)[杨永锋、任兴民、秦卫阳、吴亚锋、支希哲 2008 物理学报 57 6139]

    [17]

    ]Xiong J J,Wan Q L, Zheng S J, Xu X 2007 Jiangxi Electric Power 31 16 (in Chinese) [熊俊杰、万秋兰、郑蜀江、徐贤 2007 江西电力 31 16]

    [18]

    ]Kundur P 1994 Power system stability and control(1st ed) (New York: McGraw-Hill Inc)

    [19]

    ]Xu Z 2004 Dynamic behavior analysis of AC-DC power system(1st ed)(Beijing: Machinery Industry Press)p153—155(in Chinese) [徐政 2004 交直流电力系统动态行为分析(第一版)(北京:机械工业出版社)第153—155页]

计量
  • 文章访问数:  5185
  • PDF下载量:  795
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-06-24
  • 修回日期:  2009-09-01
  • 刊出日期:  2010-05-15

基于经验模态分解滤波的低频振荡Prony分析

  • 1. 四川大学电气信息学院,成都 610065
    基金项目: 

    国家科技支撑计划项目(批准号:2008BAA13B01)资助的课题.

摘要: 传统Prony法在分析低频振荡时对输入信号要求较高,存在着对噪声敏感的弱点.因此提出一种经验模态分解滤波和改进Prony法相结合的低频振荡分析方法.该方法先用经验模态分解对低频振荡信号进行自适应滤波,再用改进Prony法对滤波后的信号进行分析.其中,改进Prony法有效阶数用归一化奇异值法确定.将该方法分别用于分析试验信号和IEEE 4机系统振荡信号,并与基于低通滤波器的Prony分析进行比较.结果表明,在较大噪声环境下,该方法仍然能相对准确的辨识出低频振荡主导模式,验证了其有效性.

English Abstract

参考文献 (19)

目录

    /

    返回文章
    返回