A power system stabilizer design by big bang-big crunch algorithm

Emre Dincel*, V. M.Istemihan Genc

*Corresponding author for this work

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

12 Citations (Scopus)

Abstract

Power system stabilizers (PSSs) are used to enhance damping of electromechanical oscillations occurring in power systems after small or large disturbances. PSSs designed by classical control methods have been widely used to accomplish this task. In this study, a new method based on big bang-big crunch algorithm is proposed to optimize the parameters of PSSs with a conventional structure in order to stabilize the system and to increase damping of this type of oscillations. The success of the proposed method is demonstrated on a two-area test system through simulations in which both local and inter-area oscillations are effectively damped.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012
PublisherIEEE Computer Society
Pages307-312
Number of pages6
ISBN (Print)9781467331432
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012 - Penang, Malaysia
Duration: 23 Nov 201225 Nov 2012

Publication series

NameProceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012

Conference

Conference2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012
Country/TerritoryMalaysia
CityPenang
Period23/11/1225/11/12

Keywords

  • Big Bang-Big Crunch Optimization Algorithm
  • Conventional Power System Stabilizer
  • Multi-Machine Power System
  • Small Signal Stability

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