New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes-Reference-Cited by-同舟云学术

New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes

Published:2021-11 Issue: Volume:7 Page:6394-6412
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Sahri Younes,Tamalouzt Salah^ORCID,Hamoudi Farid,Belaid Sofia Lalouni^ORCID,Bajaj Mohit,Alharthi Mosleh M.,Alzaidi Mohammed S.^ORCID,Ghoneim Sherif S.M.^ORCID

Publisher

Elsevier BV

Subject

General Energy

Reference44 articles.

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2. Enhancement of the direct power control applied to DFIG-wecs;Aroussi;Int. J. Electr. Comput. Eng.,2020

3. Application of five-level NPC inverter in DPCANN of doubly fed induction generator for wind power generation systems;Benbouhenni;Int. J. Smart Grid,2019

4. Power ripple reduction of DPC DFIG drive using ANN controller;Benbouhenni;Acta Electrotech. Inform.,2020

5. Parallel model predictive direct power control of DFIG for wind energy conversion;Benzouaoui;Int. J. Electr. Power Energy Syst.,2021

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1. Enhancement of the power quality of DFIG-based dual-rotor wind turbine systems using fractional order fuzzy controller;Expert Systems with Applications;2024-03

2. Application of fractional-order synergetic-proportional integral controller based on PSO algorithm to improve the output power of the wind turbine power system;Scientific Reports;2024-01-05

3. Experimental Validation of Feedback PI Controllers for Multi-Rotor Wind Energy Conversion Systems;IEEE Access;2024

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