Abstract
Yaw control is an important part of the control system of a horizontal shaft wind turbine. After the installation of the wind turbine, the turbulence influence of the wind turbine blades and the azimuth of the wind turbine will cause yaw error which directly affects the economic and the safety of the wind turbine. This article introduces a method for aligning the yaw error of a wind turbine mounted with a LiDAR anemometer, in which the power and the yaw azimuth of the wind turbine, recorded by a SCADA system, are divided into 22 power segments and 12 yaw azimuth sectors respectively. Combining the yaw error angles measured by the LiDAR, a 3D table of yaw error angles is prepared based on the power segments and yaw azimuth sectors of the wind turbine. Using the table of the yaw error angles, the wind turbine yaw error is aligned for capturing the maximum wind energy. According to the analysis of the data measured on-site, the proposed method is found effective in improving the AEP of the aligned wind turbine. Furthermore, taking the alignment of yaw error in a 48.6MW wind farm as an example, the economy and feasibility of the proposed method are analyzed.
Highlights
Wind power is the fastest-growing form of renewable energy
A flowchart of the yaw control of the wind turbine after the addition of the proposed yaw error alignment method is shown in Figure 6, where the dashed box is the newly added yaw error alignment model, According to the values of the yaw counter, the operating yaw azimuth sectors of the wind turbine are calculated in the sector allocation module, and the current yaw error angle φ is obtained according to the corresponding wind turbine output power look-up table
This article proposes a novel method for yaw error alignment based on LiDAR measured flow direction of the incoming wind
Summary
Wind power is the fastest-growing form of renewable energy. The cost of power generation from the wind energy is close to that from conventional energy sources. YAW ERROR ALLIGNMENT METHOD The average yaw error angle of the wind turbine, φ, can be calculated by acquiring LiDAR data periodically, at the fully operational wind speed in the 360◦ yaw azimuth. A flowchart of the yaw control of the wind turbine after the addition of the proposed yaw error alignment method is shown, where the dashed box is the newly added yaw error alignment model, According to the values of the yaw counter, the operating yaw azimuth sectors of the wind turbine are calculated in the sector allocation module, and the current yaw error angle φ is obtained according to the corresponding wind turbine output power look-up table. Combine the table as a feedback compensation amount with the yaw angle φ to generate an aligned and controlled yaw angle reference φ ◦
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