Abstract: This paper presents the neuro-fuzzy vector control for wind-driven DFIG to track the maximum wind power point. One configuration is realized by using back-to-back converters in rotor circuit and employing vector control. In this vector control the rotor side voltage source converter that allows independent control of the generated active and reactive as well as rotor speed to track the maximum wind power point. A neuro-fuzzy gain tuner is used to control the DFIG. Each neuro-fuzzy system has input as error value of generated speed active and reactive power. The choice of only one input to the system simplifies the design. Experimental investigations have also been conducted on a laboratory DFIG to verify the calculated results.
Keywords: Vector control, neuro-fuzzy, wind power generation .doubly-fed induction generator (DFIG).