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

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 non-linear plant, and the adaptive neuro-controller (ANC) to damp output oscillations. The back-propagation training method is used on-line 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.

Authors:
;
Publication Date:
Research Org.:
Univ. of Calgary, Alberta (CA)
OSTI Identifier:
20001185
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers)
Additional Journal Information:
Journal Volume: 14; Journal Issue: 3; Other Information: PBD: Sep 1999; Journal ID: ISSN 0018-9383
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING AND POLICY; POWER SYSTEMS; STABILIZATION; NEURAL NETWORKS; ARTIFICIAL INTELLIGENCE; PROGRAM MANAGEMENT; OPERATION

Citation Formats

Shamsollahi, P., and Malik, O.P. Application of neural adaptive power system stabilizer in a multi-machine power system. United States: N. p., 1999. Web. doi:10.1109/60.790943.
Shamsollahi, P., & Malik, O.P. Application of neural adaptive power system stabilizer in a multi-machine power system. United States. doi:10.1109/60.790943.
Shamsollahi, P., and Malik, O.P. Wed . "Application of neural adaptive power system stabilizer in a multi-machine power system". United States. doi:10.1109/60.790943.
@article{osti_20001185,
title = {Application of neural adaptive power system stabilizer in a multi-machine power system},
author = {Shamsollahi, P. and Malik, O.P.},
abstractNote = {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 non-linear plant, and the adaptive neuro-controller (ANC) to damp output oscillations. The back-propagation training method is used on-line 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.},
doi = {10.1109/60.790943},
journal = {IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers)},
issn = {0018-9383},
number = 3,
volume = 14,
place = {United States},
year = {1999},
month = {9}
}