An Application of Slime Mould Algorithm for Optimizing Parameters of Power System Stabilizer

Serdar Ekinci, Davut Izci, H. Lale Zeynelgil, Sedat Orenc

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

39 Citations (Scopus)

Abstract

An optimal design of power system stabilizer (PSS) in a single-machine infinite-bus power system using slime mould algorithm (SMA) is introduced in this paper. The parameter adjustment of PSS has been defined as an optimization problem and solved using SMA by minimizing a performance index based on the integral of time multiplied absolute error (ITAE). The performance of the designed SMA based PSS has been compared with the conventional PSS and grasshopper optimization algorithm (GOA) based PSS. The effectiveness of the proposed SMA based PSS in enhancing the dynamic stability of single-machine infinite-bus power system has been verified through convergence profile analysis, eigenvalue analysis and nonlinear simulations.

Original languageEnglish
Title of host publication4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728190907
DOIs
Publication statusPublished - 22 Oct 2020
Event4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Istanbul, Turkey
Duration: 22 Oct 202024 Oct 2020

Publication series

Name4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings

Conference

Conference4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020
Country/TerritoryTurkey
CityIstanbul
Period22/10/2024/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • parameter optimization
  • power system stability
  • power system stabilizer design
  • Slime mould algorithm

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