Abstract
In this study, dynamic simulations of a wind turbine were performed to predict its dynamic performance, and the results were experimentally validated. The dynamic simulation received time-domain wind speed and direction data and predicted the power output by applying control algorithms. The target wind turbine for the simulation was a 2 MW wind turbine installed in an onshore wind farm. The wind speed and direction data for the simulation were obtained from WindSim, which is a commercial computational fluid dynamics (CFD) code for wind farm design, and measured wind speed and direction data with a mast were used for WindSim. For the simulation, the wind turbine controller was tuned to match the power curve of the target wind turbine. The dynamic simulation was performed for a period of one year, and the results were compared with the results from WindSim and the measurement. It was found from the comparison that the annual energy production (AEP) of a wind turbine can be accurately predicted using a dynamic wind turbine model with a controller that takes into account both power regulations and yaw actions with wind speed and direction data obtained from WindSim.
Highlights
South Korea has recently been actively promoting the development of power plants using renewable energy
In the torque control region where the wind speed is lower than 10 m/s, the look-up table of strategy was used, and no tuning was necessary because the algorithm is not affected by the change of torque scheduling was tuned so that the power curve of the dynamic model is matched with air density
The measured data and the data obtained from electrical power predicted by WindSim, and the electrical power predicted by the dynamic model
Summary
South Korea has recently been actively promoting the development of power plants using renewable energy. There are studies predicting the AEPs of operating wind farms using commercial software (such as WindPRO, WindSim, WindFarm, and Metodyn) with either measured or reanalyzed wind data and validating the results with actual energy productions. Kim et al used WindSim to predict the AEPs of two wind farms on complex terrain in South Korea, and the errors compared with the actual AEPs for three years were between 1.7% and 10.9% [8]. A recent study proposed using a dynamic wind turbine simulation model to predict the AEP of a wind turbine [15] It used a Simulink version of the NREL 5 MW paper wind turbine including a controller to predict the AEP of a wind turbine at four different sites and compared the results with the results from a commercial code, WindPRO.
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