DocumentCode
264290
Title
Tuning of power system stabilizer PSS using genetic algorithms
Author
Trujillo Canales, Hugo ; Cisneros Torres, F. ; Silva Chavez, J.C.
fYear
2014
fDate
5-7 Nov. 2014
Firstpage
1
Lastpage
6
Abstract
The present work proposes a methodology to obtain setting parameters of a power system stabilizer (PSS), through the implementation of search technique based on genetic algorithms (GA). To adjust the PSS using GA, the programming and dynamic analysis using Matlab / Simulink is performed, which includes the synchronous machine, excitation system and PSS, where the response of the machine to a disturbance is observed, to search for the stabilization of the system by an optimal setting of PSS parameters obtained using GA. The modeling of the machine and its controls is performed considering machine infinite bus as outline.
Keywords
genetic algorithms; power system stability; synchronous machines; Matlab-Simulink; PSS parameters; excitation system; genetic algorithms; machine infinite bus; power system stabilizer; search technique; synchronous machine; Biological cells; Damping; Generators; Genetic algorithms; Mathematical model; Oscillators; Rotors; Dynamic Stability; Genetic Algorithm; Power System Stabilizer;
fLanguage
English
Publisher
ieee
Conference_Titel
Power, Electronics and Computing (ROPEC), 2014 IEEE International Autumn Meeting on
Conference_Location
Ixtapa
Type
conf
DOI
10.1109/ROPEC.2014.7036350
Filename
7036350
Link To Document