LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information

被引:11
|
作者
Chen, Wenting [1 ]
Liu, Hang [1 ]
Lin, Yonggang [1 ]
Li, Wei [1 ]
Sun, Yong [2 ]
Zhang, Di [1 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[2] Zhejiang Windey Co Ltd, Hangzhou 310012, Peoples R China
基金
中国国家自然科学基金;
关键词
wind turbine; lidar; yaw power; LSTM-NN yaw control; wind evolution; FAST/Simulink; POWER EXTRACTION;
D O I
10.3390/en13061482
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
Based on wind lidar, a novel yaw control scheme was designed that utilizes forecast wind information. The new scheme can reduce the power loss caused by the lag of accurate measurement data in the traditional yaw control strategy. A theoretical analysis of the power loss caused by the traditional wind measurement inherent error and the wind direction based traditional yaw control strategy was conducted. The yaw angle error and yaw stop/start frequency in an actual wind field were statistically analyzed, and a novel Long Short Term-Neural Network (LSTM-NN) yaw control strategy based on wind lidar information was proposed. An accurate forecast of the wind direction could reduce the power loss caused by the inherent yaw misalignment, while an accurate forecast of wind speed could increase the stop/start frequency in the medium speed section within the partial load range and reduce the frequency in the low speed section within the partial load range. Thus, the power captured could be increased by 3.5% under certain wind conditions without increasing the yaw duty. Based on a simple wind evolution model and a novel yaw control strategy, the validity of the yaw control strategy was verified in a FAST/Simulink simulation model.
引用
下载
收藏
页数:23
相关论文
共 50 条
  • [31] Power Regulation of Upstream Wind Turbines for Power Increase in a Wind Farm
    Kim, Hyungyu
    Kim, Kwansu
    Paek, Insu
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2016, 17 (05) : 665 - 670
  • [32] Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines
    Bartl, Jan
    Muhle, Franz
    Saetran, Lars
    WIND ENERGY SCIENCE, 2018, 3 (02) : 489 - 502
  • [33] BRAKING STABILITY ANALYSIS OF WIND TURBINES YAW BRAKE
    Yang S.
    Zhao K.
    Zhang H.
    Zhao Q.
    Wen Z.
    Yang X.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (01): : 188 - 195
  • [34] ON THE FREE YAW BEHAVIOR OF HORIZONTAL AXIS WIND TURBINES
    OLORUNSOLA, O
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 1986, 10 (04) : 343 - 355
  • [35] Research on Active Yaw Mechanism of Small Wind Turbines
    Wu, Zhi
    Wang, Hengsheng
    2012 INTERNATIONAL CONFERENCE ON FUTURE ENERGY, ENVIRONMENT, AND MATERIALS, PT A, 2012, 16 : 53 - 57
  • [36] Noise analysis and prevention of yaw actuator of wind turbines
    Wang Y.
    Shan Z.
    Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica, 2019, 49 (05): : 611 - 618
  • [37] Model Predictive Control for Wind Turbine Load Reduction under Wake Meandering of Upstream Wind Turbines
    Yang, Zhongzhou
    Li, Yaoyu
    Seem, John E.
    2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 3008 - 3013
  • [38] Anti-tropical cyclone yaw control of wind turbines based on knowledge learning and expert system
    Cai, Zelin
    Feng, Tao
    Yao, Qi
    Song, Qian
    Lin, Limin
    IET CONTROL THEORY AND APPLICATIONS, 2023, 17 (16): : 2178 - 2189
  • [39] A LiDAR-Based Active Yaw Control Strategy for Optimal Wake Steering in Paired Wind Turbines
    Mahmoodi, Esmail
    Khezri, Mohammad
    Ebrahimi, Arash
    Ritschel, Uwe
    Kamandi, Majid
    Energies, 2024, 17 (22)
  • [40] Yaw rotation control for a new twin wind turbines structure based on super-twisting strategy
    Guenoune, Ibrahim
    Plestan, Franck
    Chermitti, Ali
    2017 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA 2017), 2017, : 620 - 625