Research on Modeling of Wind Speed-Power Curve or Wind Farm

被引：0

作者：

Xu Haiyan ^{[1
]}

Chang Yuqing ^{[1
]}

Wang Shu ^{[1
]}

Yao Yuan ^{[2
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China

[2] State Grid Liaoning Elect Power Co Ltd, Shenyang 110000, Peoples R China

来源：

PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年

关键词：

Wind farm modeling; Speed-power curve; Kernel density estimation; Bines; Polynomial; PREDICTION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

High-precision wind power prediction is an important method to ensure the safety and stability of wind power integration. The power curve of wind farm plays an important role in the prediction of wind power. hi this paper, the data selection of wind speed-power curve modeling and the fitting of wind speed power curve are studied. Firstly, twodimensional kernel density estimation method is used to eliminate the abnormal data in the wind farm. Then, a method combined Bines with polynomial fitting I Bins-Polynomial) is proposed to estimate the speed-power curve. Finally, the Bins-Polynomial method is compared with the other three methods, and the results show that the accuracy of the Bins Polynomial method is higher, which can improve the accuracy of wind power prediction.

引用

页码：2382 / 2386

页数：5

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