TITLE:
Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm
AUTHORS:
Salma Keskes, Wissem Bahloul, Mohamed Ben Ali Kammoun
KEYWORDS:
Genetic Algorithm, MATLAB/SIMULINK, Power System Stabilizer, SVC-Controller, SMIB, Transient Stability
JOURNAL NAME:
International Journal of Modern Nonlinear Theory and Application,
Vol.3 No.3,
July
16,
2014
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.