Frequency Measurement of Transient Oscillatory on LABVIEW

Haichao Guo

Department of Electrical Engineering, North China Electric Power University, NCEPU, Baoding, China.

DOI: 10.4236/jpee.2014.24090                

Abstract

Due to the sensitivity of the frequency measurement of power system transient oscillatory signal with respect to noise signal, a new measurement method based on Wavelet Transform and Windowed Fourier Transform is proposed. An analysis using LabVIEW on oscillatory signal containing various noise components is carried on and it is shown that the proposed method can detect the oscillatory frequency more accurately and quickly.

Keywords

Transient Oscillatory; Frequency Measurement; Wavelet Transform; Windowed Fourier Transform

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Zhang, Y. and Liu, Z.G. (2011) Application of EEMD in Power Quality Disturbance Detection. Electric Power Automation Equipment, 31, 86-91. http://dx.doi.org/10.1080/028418501127346846
[2]	Zhao, C.Y. and He, M.F. (2004) Short Time Fourier Analysis Based on the Special Frequency Component. Automation of Electric Power Systems, 28, 41-44.
[3]	Chen, X.F. and Zhao, C.Y. (2011) The Prony Detection Method of Transient Oscillation Based on the Specific Frequency Band. Electrical Measurement & Instrumentation, 48, 1-5. http://dx.doi.org/10.1109/9.402235
[4]	Zhang, Q.G., Liu, Z.G. and Chen, G. (2013) Frequency Detection of Transient Oscillation Signal Using Morlet Wavelet Based on Spectral Kurtosis Method. Proceedings of the CSU-EPSA, 25, 1-6.
[5]	Liu, L.T. and Hsu, H. (2011) Inversion and Normalization of Time-Frequency Transform. 2011 International Conference of the IEEE Conference Publications, Multimedia Technology, 26-28 July 2011, 2164-2168.
[6]	Lv, R.L., Wu, T.J. and Yu, L. (2004) Performance Analysis of Threshold Denoising via Different Kinds of Mother Wavelets. Spectroscopy and Spectral Analysis, 24, 826-829.
[7]	Zeng, S.Z. and Zhu, J.H. (2008) An Improved Method of Denoising in Wavelet Threshold. Ocean Technology, 27, 37-39.
[8]	Fu, W. and Xu, S.C. (2006) Improved Algorithm for Threshold De-Noising in Wavelet Transform Domain. Chinese Journal of Sensors and Actuators, 19, 534-536.
[9]	Wang, B., Li, J.W. and Wang, Z.F. (2011) Threshold De-Noising Method Based on Wavelet Analysis. Computer Engineering and Designs, 32, 1099-1102.