Artificial bee colony algorithm for optimal design of power system stabilizer

Mahdiyeh Eslami, Hussain Shareef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A newly developed heuristic global optimization algorithm, artificial bee colony (ABC) algorithm, is applied for simultaneous coordinated tuning of the power system stabilizers (PSSs) in the multi-machine power system. ABC is a population based optimization algorithm inspired by the foraging behavior of bee colony and proven its superior capabilities, such as faster convergence and better global minimum achievement. To investigate the robustness and ability of the proposed algorithm in damping stabilizers design, a 2-area 4-machine system under different operating conditions is considered. The performance of the proposed ABC is compared with the genetic algorithm (GA) through eigenvalue analysis and nonlinear time-domain simulation. The simulation studies show that the stabilizers designed by ABC perform better than those by GA in damping the power system low-frequency oscillations and enhance greatly the dynamic stability of the power system.

Original languageEnglish
Title of host publication10th International Power and Energy Conference, IPEC 2012
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event10th International Power and Energy Conference, IPEC 2012 - Ho Chi Minh City, Viet Nam
Duration: Dec 12 2012Dec 13 2012

Publication series

Name10th International Power and Energy Conference, IPEC 2012

Conference

Conference10th International Power and Energy Conference, IPEC 2012
Country/TerritoryViet Nam
CityHo Chi Minh City
Period12/12/1212/13/12

Keywords

  • artificial bee colony algorithm
  • low frequency oscillation
  • power system stabilizer
  • tuning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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