Application of neural adaptive power system stabilizer in a multi-machine power system

Author

Shamsollahi, Payman ; Malik, Om P.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

14

Issue

3

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

731

Lastpage

736

Abstract

Application of a neural adaptive power system stabilizer (NAPSS) to a five-machine power system is described in this paper. The proposed NAPSS comprises two subnetworks. The adaptive neuro-identifier (ANI) to dynamically identify the nonlinear plant, and the adaptive neuro-controller (ANC) to damp output oscillations. The backpropagation training method is used online to train these subnetworks. The effectiveness of the proposed NAPSS in damping both local and inter-area modes of oscillations and its self-coordination ability are demonstrated

Keywords

adaptive control; backpropagation; control system analysis; control system synthesis; neurocontrollers; power system control; power system stability; adaptive neuro-controller; adaptive neuro-identifier; backpropagation training method; control design; control simulation; inter-area oscillation modes; local oscillation modes; multimachine power system; neural adaptive power system stabilizer; nonlinear plant identification; output oscillations damping; self-coordination ability; Adaptive control; Adaptive systems; Application software; Neural networks; Power generation; Power system dynamics; Power system reliability; Power system stability; Power system transients; Power systems;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/60.790943

Filename

790943