Genetic algorithm for damping of power system oscillations

Mahdiyeh Eslami, Hussain Shareef, Mohammad Khajehzadeh

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, Genetic algorithm (GA) optimization method is presented for optimal design of power system stabilizer (PSS). The design problem of the PSS parameters is formulated as an optimization problem and GA optimization method is used to search for optimal PSS parameters. The 2-area-4-machine power system, under a wide range of system configurations and operation conditions is investigated to illustrate the performance of the GA. The performance of the optimization method is compared with the conventional power system stabilizer. The eigenvalue analysis and non-linear simulation results are presented and compared to show the effectiveness of the GA optimization method in optimal tuning of PSS, to enhance power system stability.

Original languageEnglish
Pages (from-to)219-222
Number of pages4
JournalPrzeglad Elektrotechniczny
Issue number2 A
Publication statusPublished - 2013
Externally publishedYes


  • Design
  • Genetic Algorithm
  • Low Frequancy Oscillation
  • Power System Stabilzer

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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