Study of Short-Term Wind Power Forecasting Based on Adaptive Grey Prediction Method

Abstract:

With the wind power developing fast in the world, the large scale of wind power integration in power system leads to great challenges, and the wind power forecasting will play a key role in dealing with these challenges. A wind power short-term forecasting method based on grey system is introduced in this paper. Firstly, a basic model of grey prediction method is given. Then, in order to smoothen the basic data for the grey modeling, a self adaptive grey prediction method is developed. Finally, the result of prediction for a test system of wind power are presented and the effectiveness of the method given by the paper has been proved.

• Periodical: Applied Mechanics and Materials (Volume 734)
• Pages: 697-700
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.734.697
• Online since: February 2015
• Authors: Wen Zhen Cai*, Dong Tao Wang, Yuan Song Wang, Yong Yang, Zhi Long Gao
• Keywords: Grey Prediction Method, Self Adaptive, Wind Power

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