DISEÑO DE SISTEMA DE CONTROL PREDICTIVO EN AEROGENERADORES CON MINIMIZACIÓN DE LAS PERDIDAS EN LA TRANSFERENCIA DE ENERGÍA

Abstract

At present the energy efficiency of production processes is a matter of highest priority, and raises the design of an optimal control system for a wind turbine that minimizes the losses in energy transfer. The control system consists of an observer-state Kalman-filter and a model based predictive control. The results obtained via simulation with the proposed control strategy and compared with a LQR control scheme; show a better transfer of wind energy to electrical energy. Furthermore, we find that the optimal control applied to the system has the capacity to withstand strong shocks at the entrance and bring with control laws that allow a good performance of wind turbine system while the state feedback controller provides stability in the response of system but with less energy transfer and the latter does not support strong wind disturbances. In conclusion we find that the optimal control scheme meets the requirements established for optimum transfer of power from the system for converting wind energy into the network and is robust to strong wind shocks and demands from the network. Keywords: Energy efficiency; renewable energy; wind power generation; predictive control