Abstract
Based on wind lidar, a novel yaw control scheme was designed that utilizes forecast wind information. The new scheme can reduce the power loss caused by the lag of accurate measurement data in the traditional yaw control strategy. A theoretical analysis of the power loss caused by the traditional wind measurement inherent error and the wind direction based traditional yaw control strategy was conducted. The yaw angle error and yaw stop/start frequency in an actual wind field were statistically analyzed, and a novel Long Short Term-Neural Network (LSTM-NN) yaw control strategy based on wind lidar information was proposed. An accurate forecast of the wind direction could reduce the power loss caused by the inherent yaw misalignment, while an accurate forecast of wind speed could increase the stop/start frequency in the medium speed section within the partial load range and reduce the frequency in the low speed section within the partial load range. Thus, the power captured could be increased by 3.5% under certain wind conditions without increasing the yaw duty. Based on a simple wind evolution model and a novel yaw control strategy, the validity of the yaw control strategy was verified in a FAST/Simulink simulation model.
Highlights
Effective wind energy utilization depends on whether the rotor can accurately track wind and reduce losses in wind energy capture
Farret et al [11] studied a yaw motor motion with a hill climbing control (HCC) algorithm through detecting power, and the results showed that there was a maximum yaw misalignment of 8◦
Without considering the induction zone wind evolution, step wind speed and direction under ideal condition shown in Figure 12 were used for simulation
Summary
Effective wind energy utilization depends on whether the rotor can accurately track wind and reduce losses in wind energy capture. A yaw system will realize a quick and smooth alignment of the rotor to the wind direction as it changes, enabling the wind turbine to extract the maximum wind energy. Improving the yaw control strategy is of great significance for improving the power capture of wind turbines, prolonging their overall life, realizing the safe and reliable operation of wind power generation systems, and reducing the cost of wind power generation [3]. The yaw control can be used for optimization at the wind farm level [4] and the single wind turbine level [2]
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