DocumentCode :
2254364
Title :
Application of a genetic algorithm technique to control a simple power system
Author :
Warner, Richard K. ; Feliachi, Ali
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
Volume :
4
fYear :
1997
fDate :
10-12 Dec 1997
Firstpage :
3112
Abstract :
This paper applies genetic algorithms (GAs) to control a simple one-machine infinite bus power system. The objective is to design an output feedback controller for the test system. To validate the proposed method, full state feedback using an LQR approach is first solved using both MATLAB and the proposed GA. Then, the GA is used to design an output feedback controller that minimizes the same performance index as the LQR. The feedback gain values are quantized into a binary format so the GA operators could be applied in a binary format
Keywords :
angular velocity control; genetic algorithms; linear quadratic control; power system control; state feedback; synchronous machines; MATLAB; feedback gain; genetic algorithm; linear quadratic control; one-machine infinite bus power system; output feedback; performance index; speed control; state feedback; synchronous machines; Control design; Control systems; Genetic algorithms; Mathematical model; Output feedback; Power system control; Power systems; State feedback; System testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
ISSN :
0191-2216
Print_ISBN :
0-7803-4187-2
Type :
conf
DOI :
10.1109/CDC.1997.652319
Filename :
652319
Link To Document :
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