Development and experimental identification of dynamic models for wind turbines

With the increasing use of powerful wind farms, there is not only an increase in the share of decentralized network input, but also in the related share of power fluctuations. To be able to examine the effects of such power fluctuations on the control behavior of the power system, extensive experimental testing was carried out at a wind power plant on a low mountain range in Germany and at a wind farm on the German coast. Eased on these studies, dynamic models for the decentralized simulation of the wind speed, of the dynamic behavior of individual wind power plants and of entire wind farms were developed and parameterized. The model quality achieved is verified in each case by a comparison of simulated wind-speed and power curves with the correspondingly measured time behavior.