Abstract: In this study, we present a new sensorless control for Wind Energy Conversion System (WECS) based on Cascaded Doubly Fed Induction Generator (CDFIG). The aim of this control is to extract the maximum wind power and to control the power generation only by measuring phase voltages and currents. The proposed control scheme is ensured without the need of using any rotor speed or wind sensors from the aspect of reliability and increase in cost. For that a neuronal observer is introduced to estimate the rotor speed. To impose the Maximum Power Point (MPPT) an extended luenberger observer was introduced in cascade with the neuronal observer to estimate the optimal aerodynamic torque. After an approximation with an another artificial neuronal network, observer makes it possible to estimate the wind velocity. This later will be injected in the algorithm control to impose the MPPT. Simulation results demonstrate the sensorless control device excellent performances.
S. Nouali and A. Ouali, 2011. Sensorless Control Strategy for Wind Energy Conversion System Based on Cascaded Doubly Fed Induction Generator Using Artificial Neuronal Network. International Journal of Electrical and Power Engineering, 5: 42-48.