NON-PARAMETRIC KERNEL DENSITY ESTIMATION AND ANALYSIS OF GUANGDONG OFFSHORE WIND POWER OUTPUT BASED ON OPTIMAL BANDWIDTH

被引：0
|
作者：
Rao Z. [1 ,2 ,3 ]
Wang K. [3 ]
Tan J. [2 ]
Li J. [3 ]
Yang Z. [1 ,3 ]
Meng W. [1 ,3 ]
机构：
[1] Energy Development Research Institute, China Southern Power Grid, Guangzhou
[2] Institute of Electric Power, South China University of Technology, Guangzhou
[3] China Southern Power Grid, Guangzhou
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 12期
关键词：
multiple spatiotemporal scales; non-parametric kernel density estimation; offshore wind power; optimal bandwidth;
D O I：
10.19912/j.0254-0096.tynxb.2022-1325
中图分类号：
学科分类号：
摘要：
To support offshore wind power planning and grid security scheduling，a non-parametric kernel density estimation model based on the optimal bandwidth parameter is proposed，which does not need to rely on a priori parameter results and can be adapted to offshore wind power with multi-modal output distribution. The case study verifies that the fitting effect of the proposed model can have the characteristics of smooth curve and reflect the characteristics of spikes，reducing the error of fitting estimation. And by analyzing the non- parametric kernel density estimation model of offshore wind power，development suggestions are formed，which can provide reference value for offshore wind power planning and power grid security dispatch in Guangdong Province. © 2023 Science Press. All rights reserved.
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页码：274 / 282
页数：8
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