A NEW SITE CALIBRATION MODEL FOR COMPLEX UNDERLYING SURFACE OF WIND FARMS

Hu Ziwu; Li Bingcai; Liu Weimin; Zheng Yuqiao

doi:10.19912/j.0254-0096.tynxb.2021-0606

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (12) : 375-382. DOI: 10.19912/j.0254-0096.tynxb.2021-0606

A NEW SITE CALIBRATION MODEL FOR COMPLEX UNDERLYING SURFACE OF WIND FARMS

Hu Ziwu, Li Bingcai, Liu Weimin, Zheng Yuqiao

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Abstract

Aiming at the problems of simple model, insufficient consideration of meteorological factors and lack of abnormal detection, a site calibration model based on relative density outlier factor （relative density outlier factor, RDOF） anomaly detection and support vector regression （support vector regression,SVR） is proposed. Firstly, the RDOF and quartile methods are used to detect the abnormal data of the wind speed ratio at the same height between the wind tower and the wind turbine from the underlying surface, and the wind speed preprocessing is indirectly realized. At the same time, according to the correlation between the wind shear sequence at the same height of the wind tower and the wind turbine, the atmospheric stability grade is dynamically introduced, and a variety of conventional natural factors are used as model input. Then, the SVR site calibration model is established to correct the wind speed. Finally, it is verified by a calculation example and compared with the standard method of the International Electrotechnical Commission（IEC）. The results show that the method can effectively improve the accuracy of wind speed correction of site calibration model.

Key words

wind power / anomaly detection / support vector regression / atmospheric stability / wind speed correction

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Hu Ziwu, Li Bingcai, Liu Weimin, Zheng Yuqiao. A NEW SITE CALIBRATION MODEL FOR COMPLEX UNDERLYING SURFACE OF WIND FARMS[J]. Acta Energiae Solaris Sinica. 2022, 43(12): 375-382 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0606

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