Open AccessA New Robust RST Controller Based on PSO Optimization for DFIG Wind Turbine
Author(s) -
Abdelkarim Chemidi,
Mohamed Horch,
Mohammed el Amin Bourouis
Publication year - 2022
Publication title -
european journal of electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2116-7109
pISSN - 2103-3641
DOI - 10.18280/ejee.240102
Subject(s) - control theory (sociology) , particle swarm optimization , turbine , doubly fed electric machine , ac power , controller (irrigation) , wind power , computer science , polynomial , control engineering , engineering , control (management) , mathematics , voltage , algorithm , artificial intelligence , mechanical engineering , mathematical analysis , agronomy , electrical engineering , biology
In this paper, a new approach to control active and reactive powers for DFIG wind power system is proposed. Where parameters of the RST controller are tuned by the Particle Swarm Optimization (PSO) algorithm. First the calculation of conventional RST polynomial is presented. The main goal of this study is to apply and compare the performances of two kinds of regulators (conventional RST and PSO-RST) for DFIG wind turbine system. A vector control of the DFIG is also presented in order to accomplish the control of active and reactive powers. The obtained results show the effectiveness and good performances of PSO-RST controller compared to the conventional RST in terms of reference tracking and disturbances rejection.