Optimal predictive control model of wind turbine

The predictive control for a fixed speed wind turbine in the partial load area in investigated in this study. Using the predictive control parameterized by Laguerre functions based on a genetic algorithm (GA). Predictive control by Laguerre functions can be used in a linear system. However, it presents certain drawbacks linked to the choice of Laguerre’s parameters. In order to reduce these parameters, the predictive control by Laguerre functions (LMPC) made it possible to reduce the computation time by a third. The genetic algorithm is used to solve the problem of predictive control by continuous-time model at the level of the choice of the parameters of the Laguerre function which is done randomly. The proposed approach is based on modifying the output tracking error. The performances of the proposed approach are studied in simulations.