http://www.webreview.dz/ Webreview est un site fédérateur des revues scientifiques. Il met à la disposition des utilisateurs un ensemble de revues scientifiques algériennes couvrant tous les domaines. Webreview est ouvert à toute revue désireuse de publier son contenu en ligne soit en mode d'accès complet ou restreint permettant ainsi la valorisation de la recherche scientifique en Algérie. Webreview et un projet développé par le CERIST au sein de la Division Recherche et Développement en Sciences de l'Information. Pour contacter Webreview par émail : webreview@mail.cerist.dz Pour contacter Webreview par courrier, fax ou téléphone : Centre de Recherche sur l'Information Scientifique et Technique (CERIST) Rue des 03 frères AISSOU, Ben-Aknoun, Alger, Algérie Tél/Fax : +(213)(0) 21.91.21.98 fr SPIP - www.spip.net http://www.webreview.dz/spip.php?article2466 http://www.webreview.dz/spip.php?article2466 2015-04-12T12:04:29Z text/html fr Ben Meziane Khaddouj, Boumhidi Ismail, Dib Faiza H¥ tracking control power system stabilizer particle swarm optimization algorithm multi machine power system <p>In this paper, the proposed controller design is based on Htracking control combined with the optimized Power System Stabilizer (PSS). In addition the parameters of the PSS controller are optimized using the Particle Swarm Optimization algorithm (PSO). The aim of this study is to obtain a high performance for the speed deviation and the angle rotor simultaneously, also the damping of the oscillations and the enhancing power system stability. Using the Htracking control show the convergence (...)</p> - <a href="http://www.webreview.dz/spip.php?rubrique442" rel="directory">Issue 01</a> / <a href="http://www.webreview.dz/spip.php?mot9187" rel="tag">H¥ tracking control</a>, <a href="http://www.webreview.dz/spip.php?mot9188" rel="tag">power system stabilizer</a>, <a href="http://www.webreview.dz/spip.php?mot9189" rel="tag">particle swarm optimization algorithm</a>, <a href="http://www.webreview.dz/spip.php?mot9190" rel="tag">multi machine power system</a> <div class='rss_chapo'><p>In this paper, the proposed controller design is based on Htracking control combined with the optimized Power System Stabilizer (PSS). In addition the parameters of the PSS controller are optimized using the Particle Swarm Optimization algorithm (PSO). The aim of this study is to obtain a high performance for the speed deviation and the angle rotor simultaneously, also the damping of the oscillations and the enhancing power system stability. Using the Htracking control show the convergence of the errors to the neighborhood of zero. In order to test the effectiveness of the proposed method, the simulation results clearly indicate the damping of the oscillations of the angle rotor and<br class='autobr' /> angular speed with reduced overshoots which confirms the performance of the<br class='autobr' /> proposed scheme.</p></div>