MODEL-INVERSION FEEDFORWARD CONTROL FOR WAVE LOAD REDUCTION IN FLOATING WIND TURBINES

被引:0
作者
Fontanella, Alessandro [1 ]
Belloli, Marco [1 ]
机构
[1] Politecn Milan, Mech Engn, Via Masa 1, I-20156 Milan, Italy
来源
PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 9 | 2021年
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中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper develops a novel feedforward control strategy for reducing structural loads caused by waves in floating offshore wind turbines. The proposed control strategy is based on the inversion of a linear model of the floating wind turbine, and a real-time forecast of the wave obtained from an upstream measurement is utilized to compute a collective pitch control action. Two feedforward controllers are considered: one is designed to cancel the rotor speed oscillations and one to lower the tower-top fore-aft shear force. The feedforward control strategies are implemented in a 10MW floating wind turbine, complementing the standard feedback controller for generator speed regulation. Numerical simulations are carried out in FAST, in four operating conditions with realistic wind and waves, proving the proposed feedforward controller effectively mitigates the structural loads caused by waves. In detail, the feedforward action reduces the loads spectra in the frequency range where linear wave is active. The best performance is realized higher winds (the FA force is reduced up to 25% in 22 m/s wind), where the wave excitation is the strongest.
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页数:9
相关论文
共 24 条
[11]  
Fleming PA, 2016, PROCEEDINGS OF THE ASME 35TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING , 2016, VOL 6
[12]   A control-oriented wave-excited linear model for offshore floating wind turbines [J].
Fontanella, A. ;
Al, M. ;
van der Hoek, D. ;
Liu, Y. ;
van Wingerden, J. W. ;
Belloli, M. .
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5, 2020, 1618
[13]   Linear coupled model for floating wind turbine control [J].
Fontanella, Alessandro ;
Bayati, Ilmas ;
Belloli, Marco .
WIND ENGINEERING, 2018, 42 (02) :115-127
[14]   Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters [J].
Fusco, Francesco ;
Ringwood, John V. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2010, 1 (02) :99-106
[15]  
Hayman G., 2012, Mlife users guide for version 1.00
[16]  
Kelley N.D., 2007, NRELTP50041137
[17]  
Lemmer F., 2020, FAST MODEL SWE TRIPL
[18]   Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation [J].
Ma, Yu ;
Sclavounos, Paul D. ;
Cross-Whiter, John ;
Arora, Dhiraj .
RENEWABLE ENERGY, 2018, 128 :163-176
[19]   Efficient tuning of Individual Pitch Control: A Bayesian Optimization Machine Learning approach [J].
Mulders, S. P. ;
Pamososuryo, A. K. ;
van Wingerden, J. W. .
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5, 2020, 1618
[20]  
Musial W., 2003, PREPRINT