Activity: Examinations and supervision › Supervisor activities
Modern wind turbine controllers use wind speed data to improve power production and reduce loads on the turbine components, which means that it must be estimated in order to make such control methods applicable in practice. However, many different model based algorithms have been proposed that are able to estimate the wind speed using common turbine measurements. The turbine top wind speed measurement is unfortunately imprecise to present the rotor effective wind speed. Based on standard turbine measurements such as rotor speed and power produced, an effective wind speed, which represents the wind field averaged over the rotor disc, is derived. In this project, We implement different methods to estimate the rotor effective wind speed using turbine measurements, in addition to a relatively estimating model that is based on Nacelle Lidar. The associated uncertainty estimates for each method and sensitivity analysis are worked through. Comprehensive analysis and comparison of the methods will be presented and reviewing their advantages and drawbacks. The analysis will be based on measurements from the Vestas V52 wind turbine at DTU Risø campus. One of the main conclusions in the project, that the uncertainty estimates tend to increase with the increase of the complexity of the rotor effective wind speed estimation method. In addition that the natural of the non-linearity of the 3-dimensional power coefficient adds complexity to the study and increase the possibilities for error to exist.