Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator

Document Type : Original Article


Department of Electrical power and machines, Faculty of Engineering, Zagazig University


The paper presents a new technique for the steady state performance analysis of the DFIG using
Adaptive Neuro-Fuzzy Inference System (ANFIS). First, a mathematical model of DFIG in an
appropriate d-q reference frame is established. The effect of the excitation voltage vector on the
performance characteristics is illustrated to investigate simulations. A novel approach for the
performance analysis of DFIG using ANFIS is employed for fast, accurate, and efficient methodology.
The proposed ANFIS model has been trained off-line to predict the effect of excitation voltage
magnitude, excitation voltage angle and speed on total output power of DFIG without overheating. The
performance of the proposed scheme is investigated at different operating conditions. The simulation
study indicates accuracy and effectiveness of the ANFIS based modeling of DFIG.