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