Rotor effective wind speed; estimation techniques with simulations

Description

The rotor effective wind speed is a metric that indicates the average value of all the dif- ferent wind velocities across the rotor plane, and is a useful and important parameter that is used in wind turbine control algorithms. In the present study, the analysis is performed with the help of DTU developed HAWC2 aeroelastic code and is based on the Vestas V52 wind turbine. The goal of the project is to examine and compare the performance of some of the most common estimation methods, namely the Kalman Filter, the Extended Kalman Filter and the Power Balance Estimator. Aeroelastic turbulence simulations performed with the help of the DTU developed HAWC2 software, based on IEC 61400-1:2019 recommendations, indicate that the Power Balance and Kalman Filter estimation methods perform better in estimating the rotor effective wind speed, than the more specialized Extended Kalman Filter method, and all the estimation methods perform better at lower wind velocities. Addition- ally, a sensitivity analysis of the Mann model turbulence parameters is performed, in order to examine the effect of different turbulence characteristics on the performance of the filters. Bigger length scales and anisotropy factors seem to result in smaller statistical errors and therefore rotor effective wind speed values that are closer to the true average free-wind speed on the rotor plane.

Period	Jan 2021 → Jul 2021
Examinee	Charalampos Afentoulidis
Examination held at
Degree of Recognition	National