DocumentCode :
3485257
Title :
Genetic algorithm based design of power system stabilizers
Author :
Guo-qiang, Hu ; Dong-jie, Xu ; Ren-mu, He
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Beijing, China
Volume :
1
fYear :
2004
fDate :
5-8 April 2004
Firstpage :
167
Abstract :
This paper presents a GA based optimization scheme for simultaneous coordination of multiple machines power system damping controllers. The proposed algorithm is applied to tuning of single and multiple power system stabilizers. Controller design is tested on the small and mid-sized power systems to prove its effectiveness. PSSs are designed using MATLAB control system toolbox and optimized using GAOT toolbox. All models and simulations are carried out using MATLAB and SSAT developed by Powertech Labs Inc, Canada.
Keywords :
control engineering computing; control system synthesis; damping; genetic algorithms; power system control; power system simulation; power system stability; GA based optimization scheme; MATLAB control system toolbox; genetic algorithm; multiple machines power system damping controllers; power system stabilizers; Algorithm design and analysis; Control systems; Damping; Genetic algorithms; MATLAB; Power system control; Power system modeling; Power system simulation; Power systems; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8237-4
Type :
conf
DOI :
10.1109/DRPT.2004.1338487
Filename :
1338487
Link To Document :
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