A neuro-optimal control power system stabilizer: a comparative study

Author

Youssef, Mohamed Z. ; Jain, Praveen K. ; Mohamed, E.A. ; Orabi, Mohamed

Author_Institution

Dept. of Electr. &Comput. Eng., Queen´´s Univ., Kingston, Ont., Canada

Volume

1

fYear

2004

Firstpage

55

Abstract

An optimized configuration of a power system stabilizer (PSS) based on the artificial neural network (ANN) and the linear optimal control (LOC) is presented. The suggested PSS is the best outcome of a detailed comparison of different configurations of artificial neural network power system stabilizers (ANN-PSSs). The contribution is to have a suggested PSS with minimum measurement effort and optimum response based on a solid mathematical base. SIMULINK runs show that an optimized configuration can be reached. The optimized ANN-PSS improves the dynamic response of the power system over various loading conditions, and even under different disturbances.

Keywords

linear systems; neural nets; optimal control; power system control; power system stability; artificial neural network; linear optimal control; neuro-optimal control; power system stabilizer; Artificial neural networks; Control systems; Optimal control; Power engineering and energy; Power measurement; Power system control; Power system dynamics; Power system measurements; Power systems; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2004. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-8253-6

Type

conf

DOI

10.1109/CCECE.2004.1344957

Filename

1344957