The study on wave characteristics of wind power under multi-time scale

This paper quantitatively studies the wave characteristics of wind speed and wind power under different time scales, as well as the relationship between them, based on the real measured data of wind farm with the method of probability statistics and time series analysis. The result shows that the indirect prediction method may cause larger error because of abscure mapping relationship between wind speed and wind power, in addition, this paper also researches the influence on prediction accuracy due to the sampling interval. The result shows that the prediction accuracy is higher when the sampling interval is chosen among 5 ~ 15 min, furthermore, the rate of error increasing is more and more faster along with the extension of prediction duration, while the sampling is smaller, so it is necessary to determine the sampling interval by the prediction time scale. The achievement of this paper provides a strongly theoretical support for the model constructing and data sampling of wind power prediction, and also has the guiding significance to the precision improvement of the wind power prediction.