Linear Interpolation Model Predictive Control of Large Wind Turbines for Blade Asymmetric Fatigue Loads Mitigation

被引：0

作者：

Yang, Wentao ^{[1
]}

Geng, Hua ^{[1
]}

Xiao, Shuai ^{[2
]}

Yang, Geng ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

[2] Beijing Inst Control Engn, Beijing, Peoples R China

来源：

2015 17TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'15 ECCE-EUROPE) | 2015年

关键词：

Wind energy; Non-linear control; Modelling; Optimal control; Constant power; INDIVIDUAL PITCH;

D O I：

暂无

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：

To reduce the blades asymmetric loads of large wind turbines operated in the above-rated wind speed region, this work proposes a model predictive individual pitch controller with the linear interpolation model. Results show a significant reduction of 1P (once-per-revolution), 2P, 4P blade asymmetric loads within the limits of pitch rate. The proposed model of wind turbine can describe the characteristic of blade bending moment up to 4P (once-per-revolution) frequency. The MPC method with this model can reduce 1P, 2P, 4P blade asymmetric loads significantly within the limits of pitch rate.

引用

页数：7