Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system-Reference-Cited by-同舟云学术

Power‐control and speed‐control modes of a DFIG using adaptive sliding mode type‐2 neuro‐fuzzy for wind energy conversion system

Published:2020-11 Issue:15 Volume:14 Page:2946-2954
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Moradi Hassan¹,Yaghobi Hamid¹^ORCID,Alinejad‐Beromi Yousef¹,Bustan Danyal²^ORCID

Affiliation:

1. Faculty of Electrical and Computer EngineeringSemnan UniversitySemnanIran

2. Department of Electrical EngineeringQuchan University of TechnologyQuchanIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.1270

Reference35 articles.

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3. Overview of control systems for the operation of DFIGs in wind energy applications;Cardenas R.;IEEE Trans. Ind. Electron.,2013

4. Direct active and reactive power control of DFIG for wind energy generation;Xu L.;IEEE Trans. Energy Convers.,2006

5. Self‐tuning fuzzy‐PI‐based current control algorithm for doubly fed induction generator;Demirbas S.;IET Renew. Power Gener.,2017

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