Incremental feedforward collective pitch control method for wind turbines

被引：0

作者：

Wang, Qinwei ^{[1
]}

Du, Zeli ^{[1
]}

Chen, Wenting ^{[1
,2
,3
]}

Zhang, Jiarui ^{[1
,2
]}

Lin, Yonggang ^{[2
]}

Liu, Hongwei ^{[2
]}

机构：

[1] Yanshan Univ, State Key Lab Crane Technol, Qinhuangdao, Hebei, Peoples R China

[2] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou, Zhejiang, Peoples R China

[3] Yanshan Univ, Natl Local Joint Engn Res Ctr Adv Mfg, Forming Technol & Equipment, Qinhuangdao, Peoples R China

来源：

FRONTIERS IN ENERGY RESEARCH | 2023年 / 11卷

基金：

中国国家自然科学基金;

关键词：

wind turbine; Light Detection and Ranging; collective pitch control; incremental feedforward control; predictive control; joint simulation; hardware-in-the-loop experiment; LIDAR;

D O I：

10.3389/fenrg.2023.1326248

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In recent years, wind turbines are becoming larger, which will exacerbate the complexity of loads Complex load change affect the output power quality and wind turbine service life so that must be studied. Pitch control is usually used to reduce wind turbine load. In this paper, based on the Light Detection and Ranging (LiDAR) technology and incremental feedforward control theory, an incremental feedforward collective pitch controller is proposed. The controller can be directly superimposed on the traditional collective pitch controller so that the incremental pitch angle can fully compensate wind influence. The effectiveness of the controller is verified by multi-software platform joint simulation and hardware-in-the-loop experiment. The results show that the controller can effectively reduce the wind turbine power and load fluctuation when the variation trend of wind speed in the rotor plane estimate by LiDAR data is the same as the actual wind speed.

引用

页数：11

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