Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems-Reference-Cited by-同舟云学术

Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems

Published:2019-03-27 Issue:18 Volume:23 Page:8453-8470
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Rajasingam N.,Rasi D.,Deepa S. N.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-03947-y.pdf

Reference32 articles.

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3. Bakouri A, Mahmoudi H, Abbou A (2017) Modeling and robust control with wind speed estimation by artificial neural networks of a DFIG windturbine under both normal operation and grid fault. Int Rev Electr Eng 12(2):100–109

4. Bekakra Y, Attous DB (2014) Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT. Int J Syst Assur Eng Manag 5(3):219–229

5. Bharti OP, Saket RK, Nagar SK (2017) Controller design for doubly fed induction generator using particle swarm optimization technique. Renew Energy 114:1394–1406

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