Real-time identification of wind turbine rotor power coefficient

A scheme for real-time identification of a wind turbine power coefficient curve is presented. Knowledge of this curve is important to maximize the generated electric power. The precise shape of this curve is difficult to predict as it depends on several factors: air density, humidity, temperature, wind speed and tip speed. Once the power coefficient curve is found, it is possible to propose optimal operation points for the turbine that are fed to a controller for the electric generator. Simulation results show good performance of the identification scheme