Wind Speed Data Analysis using Wavelet Transform

Renewable energy systems are becoming a topic of great interest and investment in the world. In recent years wind power generation has experienced a very fast development in the whole world. For planning and successful implementations of good wind power plant projects, wind potential measurements are required. In these projects, of great importance is the effective choice of the micro location for wind potential measurements, installation of the measurement station with the appropriate measuring equipment, its maintenance and analysis of the gained data on wind potential characteristics. In this paper, a wavelet transform has been applied to analyze the wind speed data in the context of insight in the characteristics of the wind and the selection of suitable locations that could be the subject of a wind farm construction. This approach shows that it can be a useful tool in investigation of wind potential.

Authors:

• S. Avdakovic
• A. Lukac
• A. Nuhanovic
• M. Music

Keywords:

• Wind potential
• Wind speed data
• Wavelettransform.

References:

[1] T.H. Le, D.A. Nguyen, "Orthogonal-based wavelet analysis of wind
turbulence and correlation between turbulence and forces", Journal of
Mechanics, VAST, vol. 29(2), pp. 73-82, 2007.
[2] S. Rehman, A.H. Siddiqi, "Wavelet based correlation coefficient of time
series of Saudi Meteorological Data", Chaos, Solitons and Fractals, Vol.
39(4), pp. 1764-1789, 2009.
[3] M. D. Popescu, D. Banerjee, E. O'Shea, J. G. Doyle,L. D. Xia, "Very
long period activity at the base of solar wind streams",
Astronomy&Astrophysics, Vol. 442(3), pp. 1087 - 1090, 2005.
[4] Gurley K, Kareem A, "Applications of wavelet transforms in earthquake,
wind and ocean engineering", Engineering Structures, vol. 21, pp. 149-
67, 1999.
[5] A.H. Siddiqi, S. Khan, S. Rehman, "Wind speed simulation using
wavelets", American Journal of Applied Sciences, Vol. 2(2), pp. 557-
564, 2005.
[6] M. Jose, A. Bolzan, "Statistical and Wavelet Analysis of the Solar Wind
Data", Brazilian Journal of Physics, Vol. 35(3A), pp. 592-596, 2005.
[7] E. Terradellas, G. Morales, J. Cuxart , C. Yag├╝e, "Wavelet methods:
application to the study of the stable atmospheric boundary layer under
non-stationary conditions", Dynamics of Atmospheres and Oceans, Vol.
34(2-4), pp. 225-244, 2001.
[8] S. Rehman, A. H. Siddiqui, N. M. Al-Abbadi, "Application of Discrete
and Continuous Wavelets for Saudi Arabian Meteorological Data
Analysis", Indian Journal of Industrial and Applied Mathematics, Vol.
I(I), pp. 1-17, 2007.
[9] F. Boberg, "Solar Wind Variations Related to Fluctuations of the North
Atlantic Oscillation", Geophysical Research Letters, Vol. 29(15), pp. 13-
(1-4), 2002
[10] M. Jose, A. Bolzan, P.C. Vieira, "Wavelet Analysis of theWind Velocity
and Temperature Variability in the Amazon Forest ", Brazilian Journal
of Physics, Vol. 36(4A), pp. 1217-1222, 2006.
[11] I. Daubechies, Ten Lectures on Wavelets, Philadelphia: Society for
Industrial and Applied Mathematics, 1992.
[12] S. Mallat, A Wavelet Tour of Signal Processing, San Diego, CA:
Academic, 1998.
[13] S. Avdakovic, A. Nuhanovic, "Identifications and Monitoring of Power
System Dynamics Based on the PMUs and Wavelet Technique"
International Journal of Electrical and Electronics Engineering, vol.
4(8), pp 512-519, 2010.
[14] I. Omerhodzic, S. Avdakovic, A. Nuhanovic, K. Dizdarevic, "Energy
Distribution of EEG Signals: EEG Signal Wavelet-Neural Network
Classifier", International Journal of Biological and Life Sciences, vol.
6(4), pp 210-215, 2010.
[15] Sander + Partner GmbH, Elektronic Wind Atlas for Bosnia and
Herzegovina, Switzerland, 2008
[16] C. Torrence, and G. P. Compo, "A practical guide to wavelet analysis"
Bulletin of the American Meteorological Society, vol. 79(1), pp. 61-78,
1998.