Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances
Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances
复制标题
基于预扰动的浮式海上风力发电系统输出功率和平台运动的模型预测控制
DOI：
10.1016/j.renene.2021.03.112
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发表时间：
2021-03
期刊：
影响因子：
8.7
通讯作者：
T. Wakui;Atsushi Nagamura;R. Yokoyama
中科院分区：
文献类型：
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作者：
T. Wakui;Atsushi Nagamura;R. Yokoyama
将波浪高度和入流风速作为预测扰动，对浮式海上风力发电系统进行模型预测控制，以稳定功率输出和平台运动，降低高风速下机械和支撑部件的动态载荷。首先，预测的动态控制行为的内部模型，以预览干扰识别从气动弹性-水力控制耦合仿真结果，其中伪随机二进制序列信号被添加到在发电机转速的增益调度反馈控制器中计算的操纵变量，以满足持续激励条件。其次，采用所开发的模型预测控制对5 MW浮式海上风力发电机组进行了气动弹性-水力控制耦合仿真。通过将风力涡轮机扫掠区域中的空间平均风速视为转子有效风速，所识别的内部模型具有系统输出的高预测精度。在湍流风场和不规则波高变化下的仿真结果表明，采用所开发的模型预测控制与风速和波高的完美预见，实现了功率输出和平台运动的稳定和动态载荷的减少。
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 disturbances is identified from an aero-elastic-hydro-control coupled simulation result, in which pseudorandom 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.