Experimental verification of neuro-fuzzy vector control for wind driven DFIG

Wound-rotor induction generators have numerous advantages in wind power generation over other types of generators. One scheme is realized when a converter cascade is used between the slip-ring terminals and the utility grid to control the rotor power. This configuration is called the doubly-fed induction generator (DFIG). A neuro-fuzzy vector control scheme was presented previously by the authors where the rotor side voltage source converter was controlled to independently control the generated active and reactive power as well as the rotor speed to track the maximum wind power point. In this paper, extensive simulation and experimental investigations have been conducted on a laboratory 2 kW DFIG. Experimental results along with the simulation results demonstrate the effectiveness of the proposed control scheme.