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

Kumara Kalegowda (Visvesvaraya Technological University)
Amruthur Doreswamy Iyengar Srinivasan (JSS Science and Technology University)
Nagaraj Chinnamadha (Visvesvaraya Technological University)

International Journal of Electrical and Computer Engineering
Vol 12, No 5: October 2022

A robust design of particle swarm optimization (PSO) and Taguchi algorithm-based power system stabilizer (PSS) is presented in this paper. It incorporates a novel concept in which Taguchi and PSO techniques are integrated for stabilization of single machine infinite bus (SMIB). The system tolerates uncertainty and imprecision to a maximum extent. The proposed controller's effectiveness is proved through experiments covering light load condition using MATLAB/Simulink platform. The performance of the system is compared without PSS and with a conventional PSS. The settling time of the optimal PSS is decreased by more than 75% to conventional PSS. The study reveals that the proposed hybrid controller offers enhanced performance with respect to settling time as well as peak overshoot of the system.