On usage of pareto curves to select wind turbine controller tunings to the wind turbulence level

Model predictive control has in recently publications shown its potential for lowering of cost of energy of modern wind turbines. Pareto curves can be used to evaluate performance of these controllers with multiple conflicting objectives of power and fatigue loads. In this paper an approach to update an model predictive wind turbine controller tuning as the wind turbulence increases, as increased turbulence levels results in higher loads for the same controller tuning. In this paper the Pareto curves are computed using an industrial high fidelity aero-elastic model. Simulations show the potential in this approach, how a weight matrix selection based on an estimated wind turbulence, can keep the relevant Damage Equivalent Loads at the same level in a high turbulence case as in the normal turbulence case.