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Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm
Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
- 1 Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
- 2 Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
- 3 Commande des Machines Electriques et Reseaux de Puissance (CMERP), National Engineering School of Sfax, Sfax, Tunisia
International Journal of Modern Nonlinear Theory and Application·Volume 03 (2014)·Pages 113–123·Published 14 July 2014·DOI10.4236/ijmnta.2014.33013
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Abstract
The use of power systems as close to their operating limits can cause instability if a disturbance is occurred. The damping of the system’s oscillations can be obtained by conventional means such as voltage and speed regulation but also by Flexible AC Transmission System devices (FACTS). These devices are increasingly used in power systems. This paper presents a systematic procedure for modelling and simulation of a single-machine infinite-bus power system installed with a Static VAR Compensator (SVC). So the impact of the SVC on power system stability can be reasonably evaluated. Genetic algorithm (GA) optimization technique is applied to design robust power system stabilizer and SVC-controllers for single-machine infinite-bus (SMIB) and is employed to search for optimal controller parameters.
KeywordsGenetic AlgorithmMATLAB/SIMULINKPower System StabilizerSVC-ControllerSMIBTransient Stability
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