Optimal setting gain of PSS-AVR based on particle swarm optimization for power system stability improvement

Soeprijanto A., Haddin M., Soebagio, Purnomo M.H.

Abstract

This paper presents the settings of automatic voltage regulator (AVR) and power system stabilizer (PSS) on a single machine infinite bus (SMIB) to improve the dynamic stability of the power system. This setting is done by determining the fitness function of AVR (K<inf>A</inf>) and PSS (K<inf>PSS</inf>) gain using Particle Swarm Optimization (PSO) algorithm. The main purpose of this setting is to minimize the oscillation frequency so that it would improve the stability of electric power. Simulations are conducted by inputting step function with 5% load fluctuations as a representation of dynamic load. Simulation results show that the proposed method is very effective for improving the damping of electromechanical oscillations of the power system. The proposed method shows that the power system produces a reduced rate of 11% overshoot and settling time 40%. © 2005 - 2012 JATIT & LLS.

Journal
Journal of Theoretical and Applied Information Technology
Page Range
42-47
Publication date
2012
Total citations
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