Joint state-parameter estimation for a control-oriented LES wind farm model

Wind farm control research typically relies on computationally inexpensive, surrogate models for real-time optimization. However, due to the large time delays involved, changing atmospheric conditions and tough-to-model flow and turbine dynamics, these surrogate models need constant calibration. In this paper, a novel real-time (joint state...

Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control

Wind farm control often relies on computationally inexpensive surrogate models to predict the dynamics inside a farm. However, the reliability of these models over the spectrum of wind farm operation remains questionable due to the many uncertainties in the atmospheric conditions and tough-to-model dynamics at a range of spatial and temporal...

Closed-loop wind farm control

For wind farm control, the current practice in industry is that every turbine has its own wind turbine controller that will optimize its own performance in terms of power output, load mitigation, and/or reference tracking. However, in several national American and European1 research projects, researchers from industry and academia have shown...

Active power control of waked wind farms

Active power control can be used to balance the total power generated by wind farms with the power consumed on the electricity grid. With the increasing penetration levels of wind energy, there is an increasing need for this ancillary service. In this paper, we show that the tracking of a certain power reference signal provided by the...

Enhanced Kalman filtering for a 2D CFD NS wind farm flow model

Wind turbines are often grouped together for financial reasons, but due to wake development this usually results in decreased turbine lifetimes and power capture, and thereby an increased levelized cost of energy (LCOE). Wind farm control aims to minimize this cost by operating turbines at their optimal control settings. Most state-of-the-art...