ANN based multiple power system stabilizers adaptive and coordinated control

Author

Dong-jie, Xu ; Ren-mu, He ; Tao, Xu

Author_Institution

North China Electr. Power Univ., Beijing, China

Volume

1

fYear

2002

fDate

13-17 Oct 2002

Firstpage

361

Abstract

Application of artificial neural network (ANN) in the design of an adaptive power system stabilizer is presented in this paper. ANN and Prony analysis were used to track the dynamic characteristics of the generator and the power systems, then the controller is designed. Test results show that the proposed ANN PSS can perform well over a wide range of operating conditions and provide better dynamic performance than a fix parameter conventional PSS (CPSS).

Keywords

adaptive control; damping; neurocontrollers; oscillations; power system control; power system stability; ANN; ANN PSS; Prony analysis; adaptive control; adaptive power system stabilizer; artificial neural network; controller; coordinated control; damping; generator dynamic characteristics tracking; low frequency oscillations; multiple power system stabilizers; Adaptive control; Adaptive systems; Artificial neural networks; Character generation; Control systems; Power system analysis computing; Power system control; Power system dynamics; Power systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on

Print_ISBN

0-7803-7459-2

Type

conf

DOI

10.1109/ICPST.2002.1053566

Filename

1053566