Abstract
With the increasing capacity of wind turbines, the importance of the yaw system has gradually become more prominent. The supervisory control and data acquisition (SCADA) system of XEMC Windpower Co., Ltd. is used in this paper to analyze the yaw data of the No. 5 wind turbine of Baozhong Mountain Wind Farm in Hunan Province. In order to evaluate the power generation and the damage equivalent load (DEL) of the yaw bearing during the yaw process, an economic model predictive control (EMPC) yaw strategy based on light detection and ranging (LIDAR) was proposed. EMPC takes the yaw error and wind speed as the disturbance of the cost function (CF) at the same time by establishing the yaw bearing DEL look-up table in advance. Discrete adaptive yaw speed control set is proposed to adapt to different wind conditions sets. Finally, the effectiveness of EMPC is verified using the model of XE112-2000 wind turbine in simulation software Bladed.
Highlights
Yaw misalignment will reduce the wind energy utilization and change the wake flow field [1], at the same time, the blades will be subjected to periodically changing aerodynamic loads, which will aggravate the flapping and vibration of the blades, resulting in changes in the overall performance of the wind turbine, and even damage to the components of the wind turbine [2]. [3] pointed out that the critical value of severe yaw angle that can cause significant loss of wind turbine output power is 10°~15°, and yaw misalignment will affect the intensity of turbulence at the wake
This conclusion demonstrated the importance of the choice of wind turbine yaw speed. [5] studied the influence of yaw misalignments on the load of the main bearing of the turbine, and found that damage equivalent load (DEL) increased with the increase of the yaw error. [6] used a 5 MW horizontal axis wind turbine as the research object, compared the effects of different yaw angles on the wind drive rainfall on the surface of the tower and blades, the additional force of raindrops, and the equivalent pressure coefficient
These studies showed that yaw control is potentially helpful for increasing the power generation and reducing the fatigue load on key parts of the wind turbine. [7] compared proportional integral derivative (PID) control, fuzzy control and MPC control, and pointed out that logic control still dominates yaw control
Summary
Yaw misalignment will reduce the wind energy utilization and change the wake flow field [1], at the same time, the blades will be subjected to periodically changing aerodynamic loads, which will aggravate the flapping and vibration of the blades, resulting in changes in the overall performance of the wind turbine, and even damage to the components of the wind turbine [2]. [3] pointed out that the critical value of severe yaw angle that can cause significant loss of wind turbine output power is 10°~15°, and yaw misalignment will affect the intensity of turbulence at the wake. [6] used a 5 MW horizontal axis wind turbine as the research object, compared the effects of different yaw angles on the wind drive rainfall on the surface of the tower and blades, the additional force of raindrops, and the equivalent pressure coefficient. These studies showed that yaw control is potentially helpful for increasing the power generation and reducing the fatigue load on key parts of the wind turbine. MPC can use mature industrial models to predict the VOLUME XX, 2017
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