Memory-Based Individual Pitch Control for Offshore Floating Wind Turbine Load Reduction

In recent years,the offshore floating wind turbine (OFWT) in shallow waters,where the winds are stronger and the hazard to human ears is less,has been developed.However,using a floating platform introduces additional motions that may cause structure damage and unstable generating system.Some controllers were designed to avoid structural resonance,others were used to regulate power output and platform pitching.This paper focuses on the control of OFWT by means of an advanced individual pitch control (IPC) to reduce fluctuation of power output and fatigue load caused by platform motions in above rated wind speed region.The advanced control approach has a two-degree-of-freedom structure,consisting of an optimal multivariable LQG controller,a feed forward disturbance rejection controller based on estimated wind speed signals and a memory-based compensation.The control approach is tested and compared with the conventional CPC method in simulation studies with the NREL 5MW OFWT run on FAST and Matlab/Simulink,operating above rated wind speed.The results demonstrate a better power tracking and better performance on reducing fatigue levels and platform oscillations.
Offshore floating wind turbine floating platform fatigue load reduction individual pitch control memory-based compensation LQG
Shan Zuo Lei Wang Qingwang Song Qingchuan Zeng
Institute of Intelligent System and Renewable Energy Technology,UESTC,Chengdu,China,611731 Intelligent Systems and New Energy Technology Research Institute,Chongqing University,Chongqing,Chin
国际会议
南京
英文
1-6
2013-08-20(万方平台首次上网日期,不代表论文的发表时间)