Fuzzy/ANFIS control of DFIG based wind energy conversion system under the condition of voltage sag on grid in one phase

Due to escalating electricity generation by non-conventional energy resources, demand for Doubly Fed Induction Generator (DFIG) has increased, since it has numerous advantages over other generators. In this paper, simulations are performed in MATLAB/Simulink for DFIG wind farm capable of generating 9MW power. As a base study, vector control (VC) is chosen for grid side converter (GSC) and rotor side converter (RSC). VC is based upon PI controller for generating the references for direct and quadrature axis (d-q) components. Then PI controller in vector control technique is replaced with various fuzzy controls such as Mamdani, Sugeno Adaptive Neuro Fuzzy Inference System (ANFIS) with grid partition (GP) and sub clustering (SC) method. The results with fuzzy control are compared with that of PI control. The results for real power, reactive power, and torque and dc link voltage are compared in tabulation form also for better understanding. The results indicate that Fuzzy/ANFIS controller gives improved real and reactive power. And also fluctuations/ripples in electromagnetic torque (ET) and dc link voltage (DCLV) are reduced.