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