Work

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

Year: 2022

Type: article

Abstract: 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.

Source: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

DOI: 10.11591/ijece.v12i5.pp4672-4679

Authors: Kumara Kalegowda, Amruthur Doreswamy Iyengar Srinivasan, Nagaraj Chinnamadha

Institutions: Visvesvaraya Technological University, JSS Science and Technology University

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4289259982

FWCI: 0.479

Cites: 22

Cited by: 8

Related to: 10