Paper
28 July 2023 Ultra short term wind power forecasting method based on projection pursuit algorithm
Jingdong Zhu, Xiongfeng Hu, Yidan Lou
Author Affiliations +
Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 1275625 (2023) https://doi.org/10.1117/12.2685891
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
This paper will briefly describe the impact It is mainly predicted by wind power(WPP) error on power supply, point out the factors that affect wind farm ultra-short term WPP, and analyze the current research situation WPP. So far, many WPP methods have been studied internationally, which are generally divided into two categories: physical methods and statistical methods. The physical method is mainly to predict the wind speed and wind energy of the wind farm by using the numerical weather forecast and combining the physical information such as the terrain aroundGet wind farm; The statistical methods is to establish the mapping relationship between the historical data and the future wind speed using the linear or nonlinear method based on the statistical model method and the historical measured data of the wind farm.
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Jingdong Zhu, Xiongfeng Hu, and Yidan Lou "Ultra short term wind power forecasting method based on projection pursuit algorithm", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 1275625 (28 July 2023); https://doi.org/10.1117/12.2685891
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KEYWORDS
Wind energy

Control systems

Power grids

Wind speed

Data modeling

Meteorology

Safety

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