In this paper, we present an implementation of a model predictive controller (MPC) for wind farm power tracking problem. The controller is evaluated in the high-fidelity PAral-lelized Large-eddy simulation Model (PALM). By taking measurements from PALM, we show that the closed-loop MPC can provide power reference tracking while reducing force variations on a farm level by solving a constrained optimization problem at each time step. A six turbine wind farm case study is presented in which the controller operates with yawed turbines that increases the potential power that can be harvested with the wind farm, and we show that it is possible to track a reference power signal that temporarily exceeds the power harvested when operating under the so-called greedy control settings.
|Publication status||Published - 2018|
|Event||NMPC 2018: 6th IFAC Conference on Nonlinear Model Predictive Control - Madison, United States|
Duration: 19 Aug 2018 → 22 Aug 2018
- Large-eddy simulations
- Model Predictive Control
- Wind farm