MODELLING OF A SMIB POWER SYSTEM-A SYSTEMATIC APPROACH OF PSO WITH THE DUAL INPUT POWER SYSTEM STABILIZER

Abstract

The use of Power System Stabilizers has
become increasingly important to provide improved stabilization of the system. The power system stabilizers are mainly designed to stabilize the local and inter areamode
power oscillations. A PSS detects the changing of generator output power, controls the excitation value and reduces the power swing rapidly,(i.e.),power system stabilizer (pss) is used to provide damping to the rotor
oscillations of the synchronous machine by controlling its excitation. The design problem of the proposed controller is formulated as an optimization problem and PSO is employed to search for optimal controller parameters. Here this paper deals with application of Particle swarm optimization for the dual input power system stabilizer (pss) in a single machine infinite bus(SMIB)system and it is compared with conventional pss. Simulation results are presented under wide range of operating Conditions. Simulation results show that proposed pss has a
significantly better performance as compared to conventional pss.