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 proceedingChapter (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 languageEnglish
Title of host publicationArtificial Intelligence in Renewable Energetic Systems: Smart Sustainable Energy Systems
EditorsMustapha Hatti
PublisherSpringer Nature Link
ISBN (Electronic)978-3-319-73192-6
ISBN (Print)978-3-319-73191-9
Publication statusPublished - 2018

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