Rooted Tree Optimization for the Backstepping Power Control of a Doubly Fed Induction Generator Wind Turbine: dSPACE Implementation
Badre Bossoufi,Mohammed Karim,Mohammed Taoussi,Hala Alami Aroussi,Manale Bouderbala,Olivier Deblecker,Saad Motahhir,Anand Nayyar,Mohammed A. AlZain +8 more
TLDR
In this paper, the authors proposed a nonlinear adaptive backstepping control technique applied to a DFIG based wind system and an optimization technique that uses the rooted tree optimization (RTO) algorithm.Abstract:
With the development of wind power generation in recent years, several studies have dealt with the active and reactive power control of wind power systems, along with the quality of energy produced and the connection to distribution networks. In this context, this research proposes a new contribution to the field. The major objective of this work is the development of a nonlinear adaptive backstepping control technique applied to a DFIG based wind system and an optimization technique that uses the rooted tree optimization (RTO) algorithm. The backstepping control strategy is based on the Lyapunov nonlinear technique to guarantee the stability of the system. It is applied to the two converters (i.e., machine and network sides) and subsequently improved with estimators to make the proposed system robust to parametric variation. The RTO technique is based on monitoring the behavior of the underlying foundation of trees in search of underground water in accordance with the level of underground control. The solution proposed for the control is validated using two methods: (1) a simulation on MATLAB/Simulink to test the continuation of the reference (real wind speed) and the robustness of the system and (2) a real-time implementation on a dSPACE-DS1104 board connected to an experimental bench in a laboratory. Simulation and experimental results highlight the validation of the proposed model with better performance compared with other control techniques, such as sliding mode control, direct power control, and field-oriented control.read more
Citations
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Improvement of PMSG-Based Wind Energy Conversion System Using Developed Sliding Mode Control
Btissam Majout,Badre Bossoufi,Manale Bouderbala,Md. Mehedi Masud,Jehad F. Al-Amri,Mohammed Taoussi,Mohammed El Mahfoud,Saad Motahhir,Mohammed Karim +8 more
TL;DR: In this paper , the authors proposed a sliding mode control (PSMC) based on a novel smooth continuous switching control to increase the performance and the efficiency of the Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system.
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A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to offshore wind energy
TL;DR: In this article , the authors developed a framework for identifying and categorizing the barriers to the growth of offshore wind energy in India and prioritized these barriers using a multi-criteria decision-making approach and sensitivity analysis for robustness.
Journal ArticleDOI
A Review on Popular Control Applications in Wind Energy Conversion System Based on Permanent Magnet Generator PMSG
Btissam Majout,H. El Alami,Hassna Salime,Nada Zine Laabidine,Youness El Mourabit,Saad Motahhir,Manale Bouderbala,Mohammed Karim,Badre Bossoufi +8 more
TL;DR: In this paper , the authors present an overview of the most popular control strategies that have been used to control the PMSG wind power conversion system, including nonlinear sliding mode, direct power, backstepping and predictive currents control.
Journal ArticleDOI
Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
Manale Bouderbala,Badre Bossoufi,Olivier Deblecker,Hala Alami Aroussi,Mohammed Taoussi,Ahmed Lagrioui,Saad Motahhir,Mehedi Masud,Fahad Alraddady +8 more
TL;DR: In this article, a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG) was designed. But, the proposed predictive control was not validated on a test bench to demonstrate its efficacy and the observed results reveal an astonishing correlation between simulations and experiments.
Journal ArticleDOI
Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
Farah Echiheb,Yasmine Ihedrane,Badre Bossoufi,Manale Bouderbala,Saad Motahhir,Md. Mehedi Masud,Sultan Aljahdali,Madiha ElGhamrasni +7 more
TL;DR: In this paper , the authors proposed a solution to cancel the chattering phenomenon by the implication of the adaptive backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model.
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