Wind direction fluctuation analysis for wind turbines

被引：13

作者：

Guo, Peng ^{[1
]}

Chen, Si ^{[1
]}

Chu, Jingchun ^{[2
]}

Infield, David ^{[3
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

[2] Guodian United Power Technol Co Ltd, Beijing 100039, Peoples R China

[3] Univ Strathclyde, Inst Energy & Environm, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

RENEWABLE ENERGY | 2020年 / 162卷

关键词：

Wind direction fluctuation; Yaw system; Weibull distribution; Mixed copula function; Wind direction fluctuation indicators; WEIBULL DISTRIBUTION; ARCHIMEDEAN COPULAS; SPEED; MODEL;

D O I：

10.1016/j.renene.2020.07.137

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Fluctuations are a key characteristic of the wind resource. It is important to quantitatively analyze wind direction fluctuation due to its influence on the optimization of wind turbine yaw control. Based on wind resource data available from SCADA systems, a method is proposed to describe wind direction fluctua-tions in terms of fluctuation amplitude A and fluctuation duration T. A Weibull distribution is employed to fit the marginal probability density of both these two measures of wind direction fluctuations, and a mixed Copula used to connect the marginal distributions, establishing the joint probability density function. This representation has been verified through comparison with the real operating SCADA data. A set of indicators are extracted from the probability distribution which can accurately quantify the local wind direction fluctuation characteristics of a wind turbine. These indicators can be helpful in the optimization of the yaw control system parameters, facilitating an improvement in the power generating performance of the wind turbine. (c) 2020 Elsevier Ltd. All rights reserved.

引用

页码：1026 / 1035

页数：10

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