NEURO FUZZY BASED ACTIVE FILTER FOR PERFORMANCE ANALYSIS OF DFIG

Abstract: This paper proposes the operation of doubly fed induction generator (DFIG) with an integrated active filter capabilities by using grid-side converter (GSC). The wind energy conversion system acts as a static compensator (STATCOM) for supplying harmonics even when the wind turbine is in shutdown condition. Compared to the multiple regression analysis neuro fuzzy logic showed higher accuracy in prediction for the five outputs studied. The important role in the grid side converter is supplying harmonics in addition to its slip power transfer. The rotor-side converter (RSC) is used for gaining maximum power extraction and also to supply required reactive power to the DFIG. Control algorithms of both GSC and RSC are presented in detail . Here we are using the neuro fuzzy controller compared to other controllers because of its accurate performance. The proposed DFIG- based WECS is simulated using MATLAB/Simulink.

Keywords: Neuro fuzzy controller, Doubly fed induction generator (DFIG), integrated active filter, nonlinear load, power quality, wind energy conversion system(WECS).