Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

Belkacem Belabbas; Tayeb  Allaoui; Mohamed Tadjine; Mouloud Denai

Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

Belkacem Belabbas, Tayeb Allaoui, Mohamed Tadjine, Mouloud Denai

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

1 Citation (Scopus)

Abstract

This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpose of showing the performance of the T2FLC controller as compared to T1FLC controller. The proposed controllers implemented and tested using MATLAB/Simulink. The simulation results show that the controller based on T2FLC characterized by good performance with better convergence and it is fast than those obtained with the T1FLC method.

Original language	English
Title of host publication	Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems
Editors	Mustapha Hatti
Publisher	Springer Nature Link
ISBN (Electronic)	978-3-319-73192-6
ISBN (Print)	978-3-319-73191-9
Publication status	Published - 2018

Cite this

@inbook{d1d6ce44711848219d72fa52f23654a0,

title = "Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime",

abstract = "This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpose of showing the performance of the T2FLC controller as compared to T1FLC controller. The proposed controllers implemented and tested using MATLAB/Simulink. The simulation results show that the controller based on T2FLC characterized by good performance with better convergence and it is fast than those obtained with the T1FLC method.",

author = "Belkacem Belabbas and Tayeb Allaoui and Mohamed Tadjine and Mouloud Denai",

year = "2018",

language = "English",

isbn = "978-3-319-73191-9",

editor = "Mustapha Hatti",

booktitle = "Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems",

publisher = "Springer Nature Link",

address = "Netherlands",

}

Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime. / Belabbas, Belkacem; Allaoui, Tayeb ; Tadjine, Mohamed et al.
Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems. ed. / Mustapha Hatti. Springer Nature Link, 2018.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

AU - Belabbas, Belkacem

AU - Allaoui, Tayeb

AU - Tadjine, Mohamed

AU - Denai, Mouloud

PY - 2018

Y1 - 2018

N2 - This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpose of showing the performance of the T2FLC controller as compared to T1FLC controller. The proposed controllers implemented and tested using MATLAB/Simulink. The simulation results show that the controller based on T2FLC characterized by good performance with better convergence and it is fast than those obtained with the T1FLC method.

AB - This paper presents an application of a new control based on Type 2 Fuzzy Logic Controller (T2FLC) for controlling the both powers (active, reactive) of the Doubly Fed Induction Generator (DFIG) in Wind Energy Conversion System (WECS). In addition, a comparison applied between T2FLC and a classical Type 1 Fuzzy Logic Controller (T1FLC) to the purpose of showing the performance of the T2FLC controller as compared to T1FLC controller. The proposed controllers implemented and tested using MATLAB/Simulink. The simulation results show that the controller based on T2FLC characterized by good performance with better convergence and it is fast than those obtained with the T1FLC method.

M3 - Chapter (peer-reviewed)

SN - 978-3-319-73191-9

BT - Artificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems

A2 - Hatti, Mustapha

PB - Springer Nature Link

ER -

Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

Abstract

Fingerprint

Cite this