Comparative Study of Probability Distribution Functions of Wind Power Variation

Abstract:

This work focuses on the probability distribution function of wind power variation. After analyzing the characters of the power fluctuation data, normal distribution function, t location-scale distribution function and mixed second-order one-dimensional Gaussian distribution function are chosen to describe the wind power variation. Then K-S test(Kolmogorov-Smirnov) test and Pearson product-moment correlation coefficient are used to evaluate the fitting effect of the three distribution functions respectively, which indicates that the mixed second-order one-dimensional Gaussian distribution is the most appropriate one. At last, the factors affecting the parameters of Gaussian mixture distribution and to what degree they can achieve are investigated.

• Periodical: Advanced Materials Research (Volumes 953-954)
• Pages: 414-418
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.953-954.414
• Online since: June 2014
• Authors: An Jue Dai, Qian Wang, Yan Nan Zhou
• Keywords: Gaussian Mixture Model, Probability Distribution, Wind Power Variation

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