Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System

Abstract

Interconnection of the power system utilities and grids offers a formidable dispute in front of design engineers. With the interconnections

Particle swarm optimization and Taguchi algorithm-based power system stabilizer-effect of light loading condition

“…Aribowo et al [19] proposed an intelligent control of PSS, The Archimedes optimization algorithm (AOA) is a metaheuristic method for calculating the force in a fluid as a result of a load in this PSS. Soleymani and Hasanvand [20] have presented the design of PSS using an optimal controller like a genetic algorithm (GA) and PSO to mitigate the low frequency oscillations ans enhanced the small signal stability. Shivakumar et al [21] have proposed firefly optimizer-based controller is compared and analyzed with traditional to improving system stability of multi machine power system.…”