DocumentCode :
2361565
Title :
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
Link To Document :
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