P. Shamsollahi et Op. Malik, Design of a neural adaptive power system stabilizer using dynamic back-propagation method, INT J ELEC, 22(1), 2000, pp. 29-34
Citations number
11
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
A neural adaptive power system stabilizer (NAPSS) is described in this pape
r. The proposed structure consists of a neuro-identifier to track and ident
ify the nonlinear plant in real-time, and a neuro-controller to damp the po
wer plant oscillations. These two subnetworks are trained in an online mode
utilizing the dynamic back-propagation method. The performance and effecti
veness of the proposed controller are demonstrated by simulation studies fo
r a variety of operating conditions and disturbances. (C) 1999 Published by
Elsevier Science Ltd. All rights reserved.