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Research Paper | Power Engineering | India | Volume 3 Issue 4, April 2014
Dynamic Behavior of DFIG Wind Energy Conversion System under Various Faults with ANN
Dhayanidhi.N | Muralidharan.D
Abstract: The dynamic behavior of a DFIG grid connected, wind energy conversion system (WECS) is simulated using MATLAB. in this paper, Artificial neural network (ANN) with Multi Level Inverter (MLI) control technique has been developed for Doubly Fed Induction Generator (DFIG) based wind energy conversion system. With the increasing use of wind power generation, it is required to investigate the dynamic performance analysis of Doubly Fed Induction Generator under various operating conditions such as different fault conditions like line to ground faults, double line to ground faults, three phase faults and grid faults. the results of the proposed system is compared to that of the system with PI Controllers. The comparison shows that the integrated ANN controller results in an improvement in the dynamic behavior of the system under different operating conditions.
Keywords: Doubly fed Induction Generator, Wind Energy Conversion System, Multi level inverter And ANN Controller
Edition: Volume 3 Issue 4, April 2014,
Pages: 778 - 782
Similar Articles with Keyword 'Wind Energy Conversion System'
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M.Tech / M.E / PhD Thesis, Power Engineering, India, Volume 4 Issue 1, January 2015
Pages: 1347 - 1352Performance Analysis of DFIG based Wind Energy Conversion System Using Direct Power Controller
V. Kaarthikeyan | G. Madusudanan
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Research Paper, Power Engineering, India, Volume 3 Issue 12, December 2014
Pages: 596 - 601Risk Reduction of SSO and Enhance the Stability in DFIG Control Systems Using Multi-Input Multi-Output State Space Methodology
G. Rajeswari [2] | A. Anuradha [2]