期刊文献+

实时跟踪电压闪变幅度的移动不变小波分析方法 被引量:33

A SHIFT-INVARIANT WAVELET-BASED METHOD FOR TRACKING VOLTAGE FLICKER LEVEL
下载PDF
导出
摘要 该文提出了一种移动不变的小波分析方法,用以分离电压闪变信号的闪变波形(包络线)。该方法利用线性相位复小波具有奇对称实部与偶对称虚部的性质,使得在小波变换域能方便地得到与被分析调幅信号对应的一对幅值相同、频率相同的正交信号,从而可方便地对本质为调幅信号的电压闪变实现解调制。与现有的同类方法相比,该文方法的显著特点是:采用二进塔式快速算法,而不是费时的移动不变算法或重构算法,即可达到移动不变效果;只须在 3 个尺度上进行小波变换,并且前 2 个尺度上只进行实系数平滑小波变换,第 3 尺度上只进行复系数细节小波变换;只需一个尺度上的细节小波变换系数。这些特点使得该方法具有快速、准确、便于实时跟踪闪变幅度的能力。 An shift-invariant wavelet-based method is presented to detect the envelope of voltage flickers. The method is based on the quadrature signal idea and a linear-phase complex wavelet with an odd real part and an even imaginary part. From the wavelet transform (WT) coefficients it is easy to construct a pair of quadrature components corresponding to the signal being analyzed with the same amplitude and the same frequency. Using the quadrature components we can demodulate an amplitude modulated signal and then pick up its envelope, or the flicker waveform in the case of voltage flicker. Compared with the existing methods the distinctive features of this method are: shift-invariant results from a fast dyadic pyramid algorithm not a time-consuming shift-invariant one or reconstruction one; two real smoothed WT at scales 1 and 2 and one complex detailed WT at scale 3 not both smoothed WT and detailed WT at many scales. These make the method fast, correct and able to track the flicker level instantaneously.
作者 陈祥训
出处 《中国电机工程学报》 EI CSCD 北大核心 2004年第10期1-7,共7页 Proceedings of the CSEE
基金 国家自然科学基金项目(50077021)~~
关键词 调幅信号 小波变换域 幅度 正交信号 线性相位 移动 解调 电压闪变 小波分析方法 复小波 Electric power engineering Voltage flicker Hilbert transform Quadrature signal Amplitude modulation and demodulation Complex biorthogonal wavelet Shift- invariant wavelet-based method
  • 相关文献

参考文献22

  • 1Strinvasan K, Digital Measurement of Voltage Flicker[J]. IEEE Trans.Power Delivery, 1991, 6(4): 1593-1598.
  • 2Toivvonen L, morsky J. Digital multirate algorithms for measurement of voltage, current, power and flicker[J]. IEEE Trans. Power Delivery,1995, 10(1): 116-126.
  • 3Girgis A A, Stephens J W, Makran E B. Measurement and prediction of voltage flicker magnitude and frequency[J]. IEEE Trans. Power Delivery, 1995, 10(3): 1600-1605.
  • 4Girgis A A, Mose B D, Makran E B. Reactive power compensation and voltage flicker control of an arc furnace load[C]. Proceeding of the 7th international conference on harmonics and quality of power ICHIPS, Las Vigas, 1996: 242-247.
  • 5girgis A A, Makran E.B. Measurement of voltage flicker magnitude and frequency using a kalman filter based approach[C].IEEE Canadian Conference on Electrical and Computer Engineering, 1996,2: 659-662.
  • 6Srinvasan K. Digital measurement of voltage glicker [J]. IEEE Trans.Power Delivery, 1992, 6(4): 1593-1598.
  • 7马玉龙,刘连光,张建华,于晗.IEC闪变测量原理的数字化实现方法[J].中国电机工程学报,2001,21(11):92-95. 被引量:95
  • 8Zheng T, Makram E B. Wavelet representation of voltage flicker [J].Electric Power System Research, 1998, 48: 133-140.
  • 9Poisson O, Rioual P, Meunier M. New signal processing tools applied to power quality analysis[J]. IEEE Trans. Power Delivery, 1999,14(2): 561-566.
  • 10Chen Mingtang, Meliopoulos A P. Wavelet-based algorithm for voltage flicker analysis. Proceedings of the Ninth International Conference on Harmonics and Quality of Power, Vol.2, 2000.

二级参考文献40

  • 1[1]Angrisani L, Daponte P, Apuzzo M D. A measument method based on the wavelet transform for power quality analysis[J]. IEEE Trans Power Delivery, 1998, 13(4):990-998.
  • 2[2]Huang S J, et al. Application of morlet wavelets to supervise power system disturbances[J]. IEEE Trans Power Delivery, 1999, 14(1):235-243.
  • 3[3]Gaouda A M,et al. Power quality detection and classification using wavelet-multiresolution signal decomposition[J].IEEE Trans. Power Delivery, 1998, 14(4):1469-1476.
  • 4[4]Application of multiresolution signal decomposition for monitoring short-duration variations in distribution systems[J]. IEEE Trans Power Delivery, 2000, 15(2):478-485.
  • 5[5]Santoso S, Powers E J, et al. Power quality disturbance waveform recognition using wavelet-based neural classifier?Part 1: theoretical foundation, Part 2: application[J]. IEEE Trans Power Delivery, 2000, 15(1):222-235.
  • 6[6]Poisson O, Rioual P, Meunier M. Detection and measurement of power quality disturbances using wavelet transform[J].IEEE Trans Power Delivery, 2000, 15(3):1039-1044.
  • 7[7]Karimi M, Mokhtari H, Iravani R. Wavelet based on-Line disturbance detection for power quality applications[J]. IEEE Trans Power Delivery, 2000, 15(4):1212-1220.
  • 8[8]Vetterli M, Herley C, Wavelets and filter banks: theory and design[J]. IEEE Trans Signal Process, 1992, 40(9):2207-2232.
  • 9[9]Sweldens W. The Liftinging scheme: a custom-design construction of biorthogonal wavelets[J]. J. Appl. and Comput. Harmonic Analysis, 1996, 3(2):186-200.
  • 10[10]Daubechies I. Ten lectures on wavelets[M]. CBMS-NSF Regional Conf. series in Appl. Math., Philadelphia, PA, 1992, 61:277.

共引文献252

同被引文献341

引证文献33

二级引证文献179

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