Abstract:
This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a
doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy
is based on binary genetic algorithms. The controller is used to regulate the active and reactive power and hence
extract maximum energy from the system under varying wind speeds. Pitch angle control is used to regulate
the rotor angular speed while the active and reactive power are controlled by the rotor voltage supplied by the
RSC. The stator flux oriented reference frame is adopted. A fuzzy-PI controller with a minimum rule base
of nine rules is realized. The controller is implemented in C code as a dynamic linked library and simulated
using LabVIEW. Simulation results are presented.