Improving The Dynamic Response and Power Quality in Wind Turbine-DFIG Systems Using The Super Twisting Algorithm

This study introduces a new control strategy to improve the dynamic response and power quality of wind turbine systems with Doubly Fed Induction Generators (DFIGs) by utilizing super-twisting sliding mode control (ST-SMC), a specific form of Second-Order Sliding Mode Control. This method aims to tackle the inherent challenges of wind energy conversion systems (WECS), including fluctuating wind speeds and system nonlinearities, by effectively reducing the chattering phenomenon, ensuring finite-time convergence, and maintaining stability under various operating conditions. The validity of the proposed control approach was demonstrated through simulations carried out using MATLAB/Simulink software.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icaecot62402.2024.10828701
Citations
3
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.63
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article

Improving The Dynamic Response and Power Quality in Wind Turbine-DFIG Systems Using The Super Twisting Algorithm

Phatiphat Thounthong, Hichem Itouchene, Fayssal Amrane, Zoubir Boudries
3 citations
Energy Load and Power Forecasting
0.63
article

Improving The Dynamic Response and Power Quality in Wind Turbine-DFIG Systems Using The Super Twisting Algorithm

Phatiphat Thounthong, Hichem Itouchene, Fayssal Amrane, Zoubir Boudries
article en
3 citations

Abstract

This study introduces a new control strategy to improve the dynamic response and power quality of wind turbine systems with Doubly Fed Induction Generators (DFIGs) by utilizing super-twisting sliding mode control (ST-SMC), a specific form of Second-Order Sliding Mode Control. This method aims to tackle the inherent challenges of wind energy conversion systems (WECS), including fluctuating wind speeds and system nonlinearities, by effectively reducing the chattering phenomenon, ensuring finite-time convergence, and maintaining stability under various operating conditions. The validity of the proposed control approach was demonstrated through simulations carried out using MATLAB/Simulink software.

University of Béjaïa (DZ), University Ferhat Abbas of Setif (DZ), King Mongkut's University of Technology North Bangkok (TH)
Affordable and clean energy
Openalex Percentile: Top 30%
Energy Load and Power Forecasting
0.63
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Improving The Dynamic Response and Power Quality in Wind Turbine-DFIG Systems Using The Super Twisting Algorithm — Phatiphat Thounthong, Hichem Itouchene, et al. · (2024) | TGRS Research Map | TGRS