An integrator based wind speed estimator for wind turbine control

被引:0
|
作者
Elmaati, Younes Ait [1 ]
El Bahir, Lhoussain [1 ]
Faitah, Khalid [1 ]
机构
[1] Cadi Ayyad Univ, Natl Sch Appl Sci, Lab Elect Engn & Control Syst LGECOS, Marrakech 40000, Morocco
关键词
feed forward control; wind turbine power generation system; wind speed estimation; wind turbine control; FAST software; VARIABLE-SPEED; PARAMETERS;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper, an integrator based method to estimate the effective wind speed in wind turbine systems is proposed. First, the aerodynamic torque was accurately estimated through a proportional gain based observer where the generator speed is the measured output of the system. The torque signal contains not only useful frequencies of the wind, but also high frequencies and the ones due to structural vibration. The useful information of the wind signal is low frequency. A spectral analysis permitted the determination of the useful frequencies. The high frequencies were then filtered before introducing the torque signal in the wind speed observer. The desired effective wind speed was extracted through an integrator based observer using the previously estimated aerodynamic torque. The strength of the method is to avoid numerical solutions used in literature of the wind speed estimation. The effectiveness of the proposed wind speed estimator and its use to control the generator speed has been tested under turbulent situations using the FAST software (Fatigue, Aerodynamics, Structures, and Turbulence), for large scale Megawatt turbine.
引用
收藏
页码:443 / 460
页数:18
相关论文
共 50 条
  • [1] A Neural Network Based Wind Speed Estimator for a Wind Turbine Control
    Barambones, Oscar
    Gonzalez de Durana, Jose Maria
    Kremers, Enrique
    [J]. MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, 2010, : 1383 - 1388
  • [2] A Robust Wind Turbine Control using a Neural Network Based Wind Speed Estimator
    Barambones, Oscar
    [J]. 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, 2010,
  • [3] A globally convergent wind speed estimator for wind turbine systems
    Ortega, Romeo
    Mancilla-David, Fernando
    Jaramillo, Fernando
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2013, 27 (05) : 413 - 425
  • [4] Wind speed estimation for wind turbine control
    Hafidi, Ghizlane
    Chauvin, Jonathan
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2012, : 1111 - 1117
  • [5] Wind Turbine Power Control for Turbulence Wind Speed
    Erdenebat, Munkhtuya
    Moon, Chae-Joo
    Bayasgalan, Zagdkhorol
    [J]. 2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 539 - 542
  • [6] Wind turbine load optimization control and verification based on wind speed estimator with time series broad learning system method
    Fu, Deyi
    Qin, Shiyao
    Kong, Lingxing
    Xue, Yang
    Gong, Lice
    Wang, Anqing
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2024,
  • [7] ANFIS Wind Speed Estimator-Based Output Feedback Near-Optimal MPPT Control for PMSG Wind Turbine
    Phan, Nhat Minh-Le
    Tung, Duong-Nguyen
    Thanh, Tung-Nguyen
    Vu, Nga Thi-Thuy
    [J]. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2023, 34 (03) : 588 - 598
  • [8] ANFIS Wind Speed Estimator-Based Output Feedback Near-Optimal MPPT Control for PMSG Wind Turbine
    Nhat Minh-Le Phan
    Duong-Nguyen Tung
    Tung-Nguyen Thanh
    Nga Thi-Thuy Vu
    [J]. Journal of Control, Automation and Electrical Systems, 2023, 34 : 588 - 598
  • [9] Kalman filter-based wind speed estimation for wind turbine control
    Dongran Song
    Jian Yang
    Mi Dong
    Young Hoon Joo
    [J]. International Journal of Control, Automation and Systems, 2017, 15 : 1089 - 1096
  • [10] Kalman Filter-based Wind Speed Estimation for Wind Turbine Control
    Song, Dongran
    Yang, Jian
    Dong, Mi
    Joo, Young Hoon
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (03) : 1089 - 1096