Optimal Locations and tuning of Robust Power System Stabilizers using Genetic Algorithms

Author

Sebaa, Karim ; Boudour, Mohamed

Author_Institution

Dept. of Electr. Eng., Univ. Center of Yahia Fares

fYear

2006

fDate

6-10 Nov. 2006

Firstpage

501

Lastpage

506

Abstract

Optimal locations and design of robust multimachine power system stabilizers (PSSs) using genetic algorithms (GA) is presented in this paper. The PSS parameters and its locations are computed to assure maximum damping performance under different operating conditions. The efficacy of this technique in damping local and interarea modes of oscillations in multimachine power systems is confirmed through nonlinear simulation results and eigenvalues analysis

Keywords

damping; design engineering; eigenvalues and eigenfunctions; genetic algorithms; oscillations; power system stability; eigenvalues analysis; genetic algorithms; maximum damping performance; multimachine power systems oscillations; optimal locations; robust power system stabilizers; tuning; Algorithm design and analysis; Analytical models; Computational modeling; Damping; Genetic algorithms; Power system analysis computing; Power system simulation; Power systems; Robustness; Tuning; Dynamic performances; Genetic Algorithm; Optimal location; PSS design; Transient Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Conference_Location

Paris

ISSN

1553-572X

Print_ISBN

1-4244-0390-1

Type

conf

DOI

10.1109/IECON.2006.347375

Filename

4152882