Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of...

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Autores principales:	Younes Sahri, Salah Tamalouzt, Sofia Lalouni Belaid, Seddik Bacha, Nasim Ullah, Ahmad Aziz Al Ahamdi, Ali Nasser Alzaed
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wind energy conversion system non-linear control fuzzy direct torque control twelve-sector methodology doubly fed induction generator MPPT and pitch angle control Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/11332c8c848f4c1eb2b49d44107aa8e0
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spelling	oai:doaj.org-article:11332c8c848f4c1eb2b49d44107aa8e02021-11-11T19:21:39ZAdvanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions10.3390/su1321115932071-1050https://doaj.org/article/11332c8c848f4c1eb2b49d44107aa8e02021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11593https://doaj.org/toc/2071-1050A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC).Younes SahriSalah TamalouztSofia Lalouni BelaidSeddik BachaNasim UllahAhmad Aziz Al AhamdiAli Nasser AlzaedMDPI AGarticlewind energy conversion systemnon-linear controlfuzzy direct torque controltwelve-sector methodologydoubly fed induction generatorMPPT and pitch angle controlEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11593, p 11593 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind energy conversion system non-linear control fuzzy direct torque control twelve-sector methodology doubly fed induction generator MPPT and pitch angle control Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	wind energy conversion system non-linear control fuzzy direct torque control twelve-sector methodology doubly fed induction generator MPPT and pitch angle control Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Younes Sahri Salah Tamalouzt Sofia Lalouni Belaid Seddik Bacha Nasim Ullah Ahmad Aziz Al Ahamdi Ali Nasser Alzaed Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
description	A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC).
format	article
author	Younes Sahri Salah Tamalouzt Sofia Lalouni Belaid Seddik Bacha Nasim Ullah Ahmad Aziz Al Ahamdi Ali Nasser Alzaed
author_facet	Younes Sahri Salah Tamalouzt Sofia Lalouni Belaid Seddik Bacha Nasim Ullah Ahmad Aziz Al Ahamdi Ali Nasser Alzaed
author_sort	Younes Sahri
title	Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
title_short	Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
title_full	Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
title_fullStr	Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
title_full_unstemmed	Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
title_sort	advanced fuzzy 12 dtc control of doubly fed induction generator for optimal power extraction in wind turbine system under random wind conditions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/11332c8c848f4c1eb2b49d44107aa8e0
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Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

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