Study on Mitigation of Wake Interference by Combined Control of Yaw Misalignment and Pitch

Abstract

Yaw misalignment can make a wake steer, which is an effective method to increase the power of wind farms but it also increases the fatigue load of the turbines. In this paper, the combination of yaw offset and pitch control (CYMP) is studied to analyse the potential mitigation of wake, focusing on the wind velocity and turbulence of the wake distribution, power increment, and fatigue load reduction. The simulation case study shows that the method of CYMP can reduce the fatigue load by 10.29% and increase the total power by 1.7% compared with only wake steering in FAST.Fram. The Collaborative MPC (CoMPC) method based on CYMP is proposed to the real-time wake control in this research, which can increase power by more than 2% and reduce thrust by more than 4% than greedy control under 10 m/s turbulent wind.

Experimental Study of Wake Evolution under Vertical Staggered Arrangement of Wind Turbines of Different Sizes

“…Fu et al [10] used a wind tunnel to collect wake data from floating offshore wind turbines and they discussed the influence of parameters like pitch and yaw oscillations on instantaneous power output and wake characteristics. Zhao et al [11] investigated the combination of wind turbine pitch and yaw control and found that the yaw load of the unit was reduced significantly under the combined effect of both, and the total power was increased by about 1.7%. Heisel et al [12] conducted wind tunnel experiments to study the meandering characteristics of wakes at the hub height of wind turbines.…”

Rapid Estimation Model for Wake Disturbances in Offshore Floating Wind Turbines

“…While individual turbine load control is typically achieved through independent pitch adjustments, frequent changes in pitch angles can result in increased fatigue loads on pitch bearings. To alleviate these additional fatigue loads, research is increasingly focused on wake control through wake redirection, aiming to reduce wake coverage [5,6], and providing a more comprehensive understanding of wind turbine load fluctuations.…”