Wind farm production estimation under multivariate wind speed distribution

Abstract In order to accurately estimate wind farm output and subsequently optimise it, a method of wind speed distribution approximation is suggested. The method is based on period-by-period accumulation of wind speed measurements, transforming them into empirical probabilities, and observing the moving approximation to the expected power produced by the wind turbine or entire wind farm. A year is a minimal term during which wind statistics are to be accumulated. The sufficient validity and reliability of the wind speed distribution approximation is supported by controlling root -mean-square deviations and maximal absolute deviations with respect to the moving average of the expected power. The approximation quality can be regulated by adjusting constants defining the requirements to the moving deviations.

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The Equivalent Method of Wind Farms Considering Wake Effect

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.237 ◽

2013 ◽

Vol 860-863 ◽

pp. 237-241

Author(s):

Jing Ru Yan ◽

Jin Yao Zhu ◽

Xue Bing Zheng ◽

Ran Li

Keyword(s):

Wind Speed ◽

Energy Loss ◽

Wind Turbine ◽

Wind Farm ◽

Wind Farms ◽

Output Characteristic ◽

Wake Effect ◽

Speed Distribution ◽

Wind Speed Distribution ◽

Equivalent Method

It analyses the model of wake effect of wind farm in detail. Considering the energy loss caused by wake effect on the wind speed of wind turbine in different locations, the output of whole wind farm can be evaluated via the model, including the wind speed distribution. Then, it determines a kind of equivalent method of wind farm based on the output characteristic of the port of wind farm.

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Simulation of a large-scale wind farm consisting of series-connected wind generators when considering wind speed distribution

2017 20th International Conference on Electrical Machines and Systems (ICEMS) ◽

10.1109/icems.2017.8056227 ◽

2017 ◽

Author(s):

Shota Konomi ◽

Fujio Tatsuta ◽

Shoji Nishikata

Keyword(s):

Wind Speed ◽

Large Scale ◽

Wind Farm ◽

Speed Distribution ◽

Wind Generators ◽

Wind Speed Distribution

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Influence of the Angle between Ridge and Wind Direction on Wind Speed Distribution in the Wind Farm under Complex Topography

Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences ◽

10.2991/iwmecs-15.2015.122 ◽

2015 ◽

Author(s):

Xiangdong Zhu ◽

Gang Fan ◽

Dezheng Ning ◽

Huaikong Zhang ◽

Shouyuan Fan

Keyword(s):

Wind Speed ◽

Wind Direction ◽

Wind Farm ◽

Complex Topography ◽

Speed Distribution ◽

Wind Speed Distribution

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Study of Combined Forecast Model of Wind Power Output Based on GM-Weibull Wind Speed Distribution

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.670-671.1566 ◽

2014 ◽

Vol 670-671 ◽

pp. 1566-1569

Author(s):

Yun Teng ◽

Qian Hui ◽

Xin Yu ◽

Zheng Liu ◽

Yong Gang Zhang

Keyword(s):

Wind Speed ◽

Weibull Distribution ◽

Wind Power ◽

Power Output ◽

Wind Farm ◽

Distribution Model ◽

Grey Theory ◽

Grey Prediction ◽

Speed Distribution ◽

Wind Speed Distribution

The grey theory is employed to establish the grey prediction-wind speed Weibull distribution model and calculate the Weibull distribution parameters according to the randomness and intermittence of the wind power output. The wind speed distribution of the wind farm and the effective wind power density are predicted accurately, the wind power and the electric fan efforts in generating capacity and other important data can be obtained according to the actual terrain wind farm wind speed data.

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