Modeling and Uncertainty Estimation of Wind Power Curve Based on Recorded Field Data

Abstract:

Wind power curve of wind turbine has great importance in the prediction of wind power. The measured wind power curve is drawn by method of bins based on recorded field data; the uncertainty factors of the wind power curve is analyzed, and a non-parametric confidence interval estimation method is proposed based on analyzing the statistical characteristics of the data distribution. By means of the method, a probability density function model for wind power in each wind speed level is established, and the uncertainty estimation confidence interval of wind power curve is obtained on the basis of deterministic estimation. The example analysis proves the efficiency and feasibility of the method proposed in this paper.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 694-697
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.694
• Online since: July 2014
• Authors: Peng Lin*, Shu Qiang Zhao
• Keywords: Confidence Interval (CI), Measured Wind Power Curve, Method of Bins, Non-Parametric Interval Estimation, Uncertainty Estimation

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