Effect of Mean Wind Speed Variations on Power Generation of Wind Farm

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Abstract:

Through two methods, wind speed data sets sequence, the elements of which increased in Mean Wind Speed (MWS) orderly, are introduced first, and a numerical integration method depending on Weibull fitting result and power curve data to calculate Power Generation (PG) is proposed in this paper. Then, with measured data of 3 wind farms, PG with different heights are calculated and contrastive studies are made, employing the proposed data sets processing and PG calculating methods. Research results indicate that the PG calculating method has high reliability, and Equivalent Available Duration (EAD) increases about 50-60h when MWS increased by 0.1m/s. The results provide important basis for studies on the relationship of PG variation and measured data correction methods.

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1298-1307

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Weidong Meng, Jinbo Ji, Linbo Si, The Experience and Enlightenment of Oversea Wind Power Industry Development [J], Journal of Yanshan University (Philosophy and Social Edition), Vol. 10, No. 4, 2009: 108-113.

Google Scholar

[2] Hualong Xin, Aspect on the Development of Offshore Wind Energy in China [J], Periodical of Ocean University of China, Vol. 40, No. 6, 2010: 147-152.

Google Scholar

[3] K. Ohyama, T. Nakashima, Wind Turbine Emulator Using Wind Turbine Model Based on Blade Element Momentum Theory [C], in Proceedings of SPEEDAM, 2010: 762-765.

DOI: 10.1109/speedam.2010.5542217

Google Scholar

[4] Yanlu Qu, Chengdao Zhang, Shuyuan Yan, The Estimation of Parameters of Three-Parameter Weibull Distribution [J], Acta Meteorologica Sinica, Vol. 45, No. 3, 1987: 374-378.

Google Scholar

[5] Xiuzhi Zhang, Parameter Estimate Method Application of Weibull Distribution [J], Acta Meteorologica Sinica, Vol. 54, No. 1, 1996: 108-116.

Google Scholar