Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation

RENEWABLE ENERGY

卷:128

Article

Ma, Yu¹  Sclavounos, Paul D.¹  Cross-Whiter, John²  Arora, Dhiraj³ 

[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA

[2] Glosten Associates, Seattle, WA 98101 USA

[3] GE Renewable Energy, Richmond, VA 23237 USA

关键词: Offshore floating wind turbine;    Wave forecast;    Optimal control;    Load reduction;   

DOI  :  10.1016/j.renene.2018.05.059

来源: Elsevier

【 摘 要 】

Control algorithms play an important role in energy capture and load mitigation for offshore floating wind turbines (OFWTs). One of the advanced and effective control techniques is the feedforward or model predictive control approach, which requires the forecast of incoming environment conditions. For OFWTs, wave loading is one of the dominant sources to excite structural responses. This study is thus motivated to develop forecasting algorithms for wave elevations and wave excitation forces with the purpose of applying feedforward controllers on OFWTs. Two forecasting algorithms, the approximate Prony Method based on ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and SVM (Support Vector Machine) regression, are developed and validated using wave records from tank tests. Utilizing the forecasted wave elevations and wave excitation forces, a feedforward LQR controller is designed to mitigate structural loads of an OFWT system. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free