Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances

被引:40
作者
Wakui, Tetsuya [1 ]
Nagamura, Atsushi [1 ]
Yokoyama, Ryohei [1 ]
机构
[1] Osaka Prefecture Univ, Dept Mech Engn, Naka Ku, 1-1 Gakuen Cho, Sakai, Osaka 5998531, Japan
关键词
Offshore wind power generation; Floating wind turbine; Control; Model identification; Model predictive control; Aero-elastic-hydro-control coupled; simulation; BLADE-PITCH CONTROL; FEEDBACK-CONTROL; DESIGN; IDENTIFICATION; SPEED; LOADS;
D O I
10.1016/j.renene.2021.03.112
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Model predictive control of a floating offshore wind turbine-generator system, in which wave height as well as inflow wind speed is regarded as the previewed disturbances, is developed to stabilize power output and platform motion and reduce dynamic loads at mechanical and supporting components at high wind speeds. First, the internal model to predict dynamic control behaviors to previewed distur-bances is identified from an aero-elastic-hydro-control coupled simulation result, in which pseudo-random binary sequence signals are added to the manipulated variables calculated in a gain-scheduling feedback controller of the generator speed to satisfy a persistently exciting condition. Second, an aero-elastic-hydro-control coupled simulation using the developed model predictive control is performed for a 5-MW floating offshore wind turbine-generator system. The identified internal model has a high prediction accuracy of the system outputs by regarding the spatial mean wind speed in the swept area of the wind turbine as a rotor effective wind speed. The simulation results under turbulent wind fields and irregular wave height variations reveal that the stabilization of the power output and platform motion and the dynamic load reduction are achieved by employing the developed model predictive control with a perfect preview of the wind speed and wave height. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:105 / 127
页数:23
相关论文
共 53 条
  • [31] Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation
    Ma, Yu
    Sclavounos, Paul D.
    Cross-Whiter, John
    Arora, Dhiraj
    [J]. RENEWABLE ENERGY, 2018, 128 : 163 - 176
  • [32] Experimental analysis of the scaled DTU10MW TLP floating wind turbine with different control strategies
    Madsen, F. J.
    Nielsen, T. R. L.
    Kim, T.
    Bredmose, H.
    Pegalajar-Jurado, A.
    Mikkelsen, R. F.
    Lomholt, A. K.
    Borg, M.
    Mirzaei, M.
    Shin, P.
    [J]. RENEWABLE ENERGY, 2020, 155 : 330 - 346
  • [33] Performance analysis of individual blade pitch control of offshore wind turbines on two floating platforms
    Namik, H.
    Stol, K.
    [J]. MECHATRONICS, 2011, 21 (04) : 691 - 703
  • [34] Individual blade pitch control of floating offshore wind turbines
    Namik, H.
    Stol, K.
    [J]. WIND ENERGY, 2010, 13 (01) : 74 - 85
  • [35] Individual Blade Pitch Control of a Spar-Buoy Floating Wind Turbine
    Namik, Hazim
    Stol, Karl
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (01) : 214 - 223
  • [36] ITC Guidelines for the Large-Scale Assessment of Linguistically and Culturally Diverse Populations
    Oliveri, Maria Elena
    [J]. INTERNATIONAL JOURNAL OF TESTING, 2019, 19 (04) : 301 - 336
  • [37] A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines
    Olondriz, Joannes
    Jugo, Josu
    Elorza, Iker
    Alonso-Quesada, Santiago
    Pujana-Arrese, Aron
    [J]. ENERGIES, 2019, 12 (18)
  • [38] Alternative linearisation methodology for aero-elastic Floating Offshore Wind Turbine non-linear models
    Olondriz, Joannes
    Jugo, Josu
    Elorza, Iker
    Alonso-Quesada, Santiago
    Pujana-Arrese, Aron
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018), 2018, 1037
  • [39] An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms
    Olondriz, Joannes
    Elorza, Iker
    Jugo, Josu
    Alonso-Quesada, Santi
    Pujana-Arrese, Aron
    [J]. ENERGIES, 2018, 11 (05)
  • [40] Schlipf D., 2015, J. Ocean Wind Energy, V2, P223, DOI [10.17736/jowe.2015.arr04, DOI 10.17736/JOWE.2015.ARR04]