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
  • [21] Dynamic wind estimation based control for small wind turbines
    Meyer, David G.
    Srinivasan, Sriram
    Semrau, Greg
    RENEWABLE ENERGY, 2013, 50 : 259 - 267
  • [22] Wake asymmetry of yaw state wind turbines induced by interference with wind towers
    Shibuya, Koichiro
    Uchida, Takanori
    ENERGY, 2023, 280
  • [23] Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control
    He, Ruiyang
    Yang, Hongxing
    Lu, Lin
    APPLIED ENERGY, 2023, 337
  • [24] Performance study of multi-source driving yaw system for aiding yaw control of wind turbines
    Dai, Juchuan
    He, Tao
    Li, Mimi
    Long, Xin
    Renewable Energy, 2021, 163 : 154 - 171
  • [25] A Comparative Study and Analysis of Different Yaw Control Strategies for Large Wind Turbines
    Farag, Wael
    El-Hosary, Manal
    Kamel, Ahmed
    El-Metwally, Khaled
    2017 INTL CONF ON ADVANCED CONTROL CIRCUITS SYSTEMS (ACCS) SYSTEMS & 2017 INTL CONF ON NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY (PEIT), 2017, : 132 - 139
  • [26] Numerical Study on the Yaw Control for Two Wind Turbines under Different Spacings
    Xin, Zhiqiang
    Liu, Songyang
    Cai, Zhiming
    Liao, Shenghai
    Huang, Guoqing
    APPLIED SCIENCES-BASEL, 2022, 12 (14):
  • [27] Performance study of multi-source driving yaw system for aiding yaw control of wind turbines
    Dai, Juchuan
    He, Tao
    Li, Mimi
    Long, Xin
    RENEWABLE ENERGY, 2021, 163 : 154 - 171
  • [28] Maximum power extraction for wind turbines through a novel yaw control solution using predicted wind directions
    Song, Dongran
    Yang, Jian
    Fan, Xinyu
    Liu, Yao
    Liu, Anfeng
    Chen, Guo
    Joo, Young Hoon
    ENERGY CONVERSION AND MANAGEMENT, 2018, 157 : 587 - 599
  • [29] Power regulation of upstream wind turbines for power increase in a wind farm
    Hyungyu Kim
    Kwansu Kim
    Insu Paek
    International Journal of Precision Engineering and Manufacturing, 2016, 17 : 665 - 670
  • [30] Dynamic analysis of yaw system for small wind turbines
    Zhang B.
    Jia Z.
    Yu Z.
    Zhao B.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (05): : 387 - 393