Simulation and Analysis of a DFIG Wind Energy Conversion System with Genetic Fuzzy Controller
B. Babypriya1, N. Devarajan2
1B. Babypriya, Department of EEE, Institute of Road and Transport Technology, Erode, India.
2Dr. N. Devarajan, Department of EEE, Government College of Technology, Coimbatore, India.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 176-182 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0541042212/2012©BEIESP
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© The Authors. Published By: 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: The behavior of a grid connected, wind energy conversion system (WECS) is simulated using MATLAB in this paper. This analysis is presented for different fault conditions like line to ground faults, line to line faults, double line to ground faults and three phase symmetric faults. A genetic algorithm based fuzzy controller is incorporated into the Doubly fed Induction Generator (DFIG) Wind Energy Conversion System. The dynamic behavior of a DFIG Wind Energy Conversion system with genetic fuzzy controller is simulated for different fault conditions and the results are compared to that of the system with PI Controllers. The comparison shows that the incorporation of the Genetic fuzzy controller results in an improvement in the dynamic behavior of the system under transient conditions.
Keywords: Doubly fed Induction Generator, Wind Energy Conversion System, Genetic Fuzzy Controller.