Evaluation of lidar-assisted wind turbine control under various turbulence characteristics

Guo, Feng; Schlipf, David; Cheng, Po Wen

doi:https://doi.org/10.5194/wes-8-149-2023

Articles | Volume 8, issue 2

https://doi.org/10.5194/wes-8-149-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-8-149-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 2

Research article

|

09 Feb 2023

Research article |

| 09 Feb 2023

Evaluation of lidar-assisted wind turbine control under various turbulence characteristics

Feng Guo, David Schlipf, and Po Wen Cheng

Model code and software

MSCA-LIKE/OpenFAST3.0_Lidarsim: OpenFAST3.0_Lidarsim (OpenFAST3.0_Lidarsim_v1) fengguoFUAS https://doi.org/10.5281/zenodo.7594971

MSCA-LIKE/4D-Mann-Turbulence-Generator: 4D-Mann-Turbulence-Generator (4D_MannTurbulence_v1) fengguoFUAS https://doi.org/10.5281/zenodo.7594951

MSCA-LIKE/Baseline-Lidar-assisted-Controller: Baseline-Lidar-assisted-Controller (Baseline-Lidar-assisted-Controllerv_1) fengguoFUAS https://doi.org/10.5281/zenodo.7594961

Short summary

The benefits of lidar-assisted control are evaluated using both the Mann model and Kaimal model-based 4D turbulence, considering the variation of turbulence parameters. Simulations are performed for the above-rated mean wind speed, using the NREL 5.0 MW reference wind turbine and a four-beam lidar system. Using lidar-assisted control reduces the variations in rotor speed, pitch rate, tower base fore–aft bending moment, and electrical power significantly.