Supervised Artificial Neural Networks by Field-Oriented Control applied to PMSG-based Variable-Speed Wind Turbine-Reference-Cited by-同舟云学术

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Supervised Artificial Neural Networks by Field-Oriented Control applied to PMSG-based Variable-Speed Wind Turbine

Published:2024-05-27 Issue: Volume:14 Page:187-191
ISSN:
Container-title:2024 12th International Conference on Smart Grid (icSmartGrid)
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Author:

Aoumri Mohammed¹,Harrouz Abdelkader²,Yaichi Ibrahim¹,Colak Ilhami³,Kayisli Korhan⁴,Dumbrava Virgil⁵

Affiliation:

1. University of Ahmed Draϊa,Dept. Electrical Engineering,Adrar,Algeria

2. University of Ahmed Draϊa,Dept. Hydrocarbon and Renewable Energy,Adrar,Algeria

3. Istinye University,Faculty of Engin. and Natural Science,Dept. of Electrical and Electronics Eng,Istanbul,Turkey

4. Gazi University,Dept. Electrical and Electronic Engineering,Ankara,Turkey

5. Polytechnic University of Bucharest,Dept. Electric Power Systems,Bucharest,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577998/10578066/10578216.pdf?arnumber=10578216

Reference23 articles.

1. Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System

2. Robust Integral Backstepping control for Optimal Power Extraction of a PMSG-based Variable Speed Wind Turbines

3. RBFN based maximum power point strategy with SEPIC converter for standalone PMSG based wind energy conversion system

4. Artificial neural network-based control strategies for PMSG-based grid connected wind energy conversion system

5. Principes généraux de controle vectoriel. Actes des journées dEtudes du GdR “ Conception de dispositifs et systémes électrotechniques”;De Fornel;sur le Controle Vectoriel des Machines Asynchrones-Toulouse,1993

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