Artificial Intelligence Based Controller for Doubly-Fed Induction Generator Based Wind Energy Conversion System

This paper presents the control scheme of doubly-fed induction generator (DFIG) using Artificial Intelligence method. The scheme is a part of wind power in order to on-grid to electrical power grid system. In this work, wind turbine driven is by DFIG which feeds ac power to distribution network. The system is modeled and simulated in the Simulink-Mat lab software in such a way that it can be suited for modeling of induction generator configurations. The system model makes use of rotor reference frame using dynamic vector control approach for machine reference model. Artificial Intelligence controller is applied to rotor side converter for controlling active power and regulating voltage of wind power. In order to studying the performance of the artificial Intelligence controller, the different abnormal conditions are examined even the worst case. Simulation results prove the good performance of Artificial Intelligence control unit as improving power quality and stability of wind power system.