
Improvement of sliding mode power control applied to wind system based on doubly-fed induction generator
Author(s) -
Btissam Majout,
Douae Abrahmi,
Yasmine Ihedrane,
Chakib El Bakkali,
Mohammed Karim,
Badre Bossoufi
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i1.pp441-452
Subject(s) - matlab , control theory (sociology) , doubly fed electric machine , computer science , estimator , induction generator , sliding mode control , mode (computer interface) , ac power , voltage , signal (programming language) , power (physics) , generator (circuit theory) , power control , control (management) , engineering , mathematics , physics , nonlinear system , electrical engineering , statistics , artificial intelligence , quantum mechanics , programming language , operating system
In this work, we are interested in improving the performance of a doubly-fed induction generator (DFIG)-based wind system, by applying a sliding mode control strategy. The objective is the regulation of the active and reactive power, also the voltage and the frequency of the signal injected into the distribution network. The model proposed for the control is based on the sliding mode technique with performance estimators. The proposed model was validated by a simulation on MATLAB/Simulink.