Estimation of Wind Fluctuation's Impact on Rotor Speeds Using Signal Correlation Analysis

Hai Ning Pan; Ming Qin; Jun Zhang; Chao Chang; Lei Pan

doi:10.4028/www.scientific.net/AMM.448-453.1785

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 448-453Estimation of Wind Fluctuation's Impact on Rotor...

Estimation of Wind Fluctuation's Impact on Rotor Speeds Using Signal Correlation Analysis

Abstract:

Wind turbine generator (WTG), with a large inertia in the time-domain, has a significant restraint to the high-frequency fluctuations of the wind speed. When analyzing and modeling the wind turbines electrical and controlling processes, its needed to quantify or estimate this inhibition. To estimate the WTGs inertia parameters, a digital filter is introduced to approximate the inertia transfer model of WTGs blade, drive chain and the generators rotor, by analyzing the correlation of the filters output and the generators rotor speed, the time window with the best correlation probability is selected as the restraint performance indicator of the blade, drive chain and generators rotor. The proposed method is finally verified by the simulation using the SCADA data.

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Periodical:

Applied Mechanics and Materials (Volumes 448-453)

Pages:

1785-1788

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.448-453.1785

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Online since:

October 2013

Authors:

Hai Ning Pan*, Ming Qin, Jun Zhang, Chao Chang, Lei Pan

Keywords:

Correlation Analysis, Parameter Estimation, Wind Fluctuation, WTGs Inertia

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* - Corresponding Author

References

[1] Xiaochun Pan, Parameter Estimation Methods of Wind Speed Probability Distribution Based on Moment Function, Modern Electric Power. 24(2007) 12-18.

Google Scholar

[2] Kaigui Xie, Roy Billinton, Considering wind speed correlation of WECS in reliability evaluation using the time-shifting technique, Electric Power Systems Research. 79(2009) 687-693.

DOI: 10.1016/j.epsr.2008.10.013

Google Scholar

[3] R. Billinton, Y. Gao, Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy, IEEE Trans. Energy Convers. 23(2008) 163-170.

DOI: 10.1109/tec.2006.882415

Google Scholar

[4] R. Karki, P. Hu, R. Billinton, A simplified wind power generation model for reliability evaluation, IEEE Trans. Energy Convers. 21 (2006) 533-540.

DOI: 10.1109/tec.2006.874233

Google Scholar

[5] Jeremy Adler, Ingela Parmryd, Quantifying Colocalization by Correlation: The Pearson Correlation Coefficient is Superior to the Mander's Overlap Coefficient, Cytometry. 77A(2010) 733-742.

DOI: 10.1002/cyto.a.20896

Google Scholar