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.
Elsonbaty, N. A., Enany, M. A., & Diab, A. M. (2015). Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator. ERJ. Engineering Research Journal, 38(2), 117-125. doi: 10.21608/erjm.2015.66782
MLA
Nadia A Elsonbaty; Mohamed A Enany; Ahmed M Diab. "Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator". ERJ. Engineering Research Journal, 38, 2, 2015, 117-125. doi: 10.21608/erjm.2015.66782
HARVARD
Elsonbaty, N. A., Enany, M. A., Diab, A. M. (2015). 'Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator', ERJ. Engineering Research Journal, 38(2), pp. 117-125. doi: 10.21608/erjm.2015.66782
VANCOUVER
Elsonbaty, N. A., Enany, M. A., Diab, A. M. Steady State Modeling and ANFIS Based Analysis of Doubly-Fed Induction Generator. ERJ. Engineering Research Journal, 2015; 38(2): 117-125. doi: 10.21608/erjm.2015.66782
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