Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm

Jahid Hasan Tayeb, Md Rashidul Islam, Md Shafiullah, Sayed Md Abrar Gani, Md Ismail Hossain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

As a result of the multiple interruptions induced by low-frequency oscillations in power systems, they may lead to system instability. This research employs the tunicate swam algorithm (TSA), a metaheuristic optimization approach, to design the power system stabilizers (PSSs) for the multi-machine power system networks. To increase system damping, a damping ratio-based objective function is proposed and a commonly utilized traditional lead-lag type PSS structure is adopted. The effectiveness of the TSA-based PSS architecture is illustrated by two systems: one with four machines and another with ten machines. The effectiveness and robustness of the proposed method are demonstrated using many performance tests. An additional measure of trustworthiness is provided by the comparison of the simulation results to the well-known particle swarm optimization (PSO) approach for swarm intelligence in this field.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1761-1766
Number of pages6
ISBN (Electronic)9781665400527
DOIs
StatePublished - 2022

Publication series

NameProceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Damping ratio
  • Low-frequency oscillations
  • Multi-machine
  • PSO
  • PSS
  • Power system stability
  • TSA

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm'. Together they form a unique fingerprint.

Cite this