%0 Journal Article
%T Swarm Intelligence for Voltage Stability Analysis Considering Voltage-VAR Compensation
%A P. Ajay-D-Vimal Raj
%A S. Senthilkumar
%A S. Prasadh Kannah
%A M. Sudhakaran
%J Elektrika : Journal of Electrical Engineering
%D 2008
%I 
%X A new algorithm that attempts to minimize the real power loss, with a view to improve the voltage stability of thesystem is proposed. This Particle Swarm Optimization (PSO) based algorithm uses optimum settings of Automatic VoltageRegulator (AVR), On-Line Tap Changer (OLTC) and requires minimum number of Reactive Power CompensationEquipment (RPCE). This swarm intelligence technique differs in the sense it endears to identify the globally appropriatevalues in its bid to offer the best possible voltage profile .The approach is tested with standard IEEE 14, IEEE 30, IEEE 57,IEEE 118 bus systems and real time Indian utility systems and their results were found to be encouraging. This techniqueconverges faster than the existing AI based methods and hence claims to be superior. The results also include a comparativescenario of the real power loss obtained using conventional, direct search nonlinear optimization Genetic Algorithm (GA)and PSO methods.
%K Genetic algorithm
%K Optimum settings
%K Particle swarm optimization
%K Voltage stability
%U http://www.fke.utm.my/elektrika/june08/paper7june08.pdf