The Research Of Distributed Model Predictive Control For Wind Farms

Currently wind farm controllers conduct the power distribution in a static manner.Although the controller assures the demand of power,extending the operation times and even aggravating fatigue loads of a wind turbine.In order to reduce fatigue in the wind farm,we design a controller distribute the power demand dynamically.In this work,a controller is designed based on the algorithm of distributed model predictive control.The wind turbine can able to adjust its set-point of power by receiving state information that come from itself and neighbor.Meanwhile the controller has modularity that allows turbines to be added or removed from the wind farm,without changing the controllers on the remaining turbines.Finally,simulations indicate that the controller enable to reduce fatigue loads when satisfied some certain conditions.