Maximum Power Tracking of Doubly-Fed Induction Generator using Adaptive Neuro-Fuzzy Inference System
P. Siva1, E. Shanmuga Priya2, P. Ajay-D-Vimalraj3
1Mr. P. Siva, Asst. Prof. in Christ College of Engineering and Technology, Puducherry, India.
2E. Shanmuga Priya, PG Student in Christ College of Engineering and Technology, Puducherry, India.
3Mr. Ajay-D-Vimalraj, Asst. Prof. in Pondicherry Engineering College, Puducherry, India.
Manuscript received on January 09, 2015. | Revised Manuscript received on February 12, 2015. | Manuscript published on February 28, 2015. | PP: 116-120 | Volume-4 Issue-3, February 2015. | Retrieval Number: C3765024315/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with the Artificial Intelligent control of Doubly-Fed Induction Generator using Adaptive Neuro-Fuzzy Inference System in order to generate maximum power at variable wind speed. The rotor control is achieved here using the combined features of neural network and fuzzy logic controller.
Keywords: Doubly-fed Induction Generator (DFIG), Wind Energy Conversion System (WECS), Adaptive Neuro-Fuzzy Inference System (ANFIS).