On-line estimation of synchronizing and damping torque coefficients using an artificial neural network based approach

E. A. Abu-Al-Feilat; E. M. Aggoune; M. Bettayeb; H. N. Al-Duwaish

doi:10.1080/07313569708955792

On-line estimation of synchronizing and damping torque coefficients using an artificial neural network based approach

E. A. Abu-Al-Feilat^*, E. M. Aggoune, M. Bettayeb, H. N. Al-Duwaish

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper presents an artificial neural network based on-line approach to assess the dynamic stability of a single machine connected to an infinite bus system. The proposed approach is based on estimating the synchronizing and damping torque coefficients of the synchronous machine from voltage and power on-line measurements. Test results show that the proposed approach is very encouraging for fast evaluation of the dynamic stability.

Original language	English
Pages (from-to)	993-1007
Number of pages	15
Journal	Electric Machines and Power Systems
Volume	25
Issue number	9
DOIs	https://doi.org/10.1080/07313569708955792
State	Published - 1 Oct 1997

Keywords

Dynamic stability
Neural networks
Synchronizing and damping torques

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1080/07313569708955792

Cite this

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title = "On-line estimation of synchronizing and damping torque coefficients using an artificial neural network based approach",

abstract = "This paper presents an artificial neural network based on-line approach to assess the dynamic stability of a single machine connected to an infinite bus system. The proposed approach is based on estimating the synchronizing and damping torque coefficients of the synchronous machine from voltage and power on-line measurements. Test results show that the proposed approach is very encouraging for fast evaluation of the dynamic stability.",

keywords = "Dynamic stability, Neural networks, Synchronizing and damping torques",

author = "Abu-Al-Feilat, {E. A.} and Aggoune, {E. M.} and M. Bettayeb and Al-Duwaish, {H. N.}",

year = "1997",

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AU - Abu-Al-Feilat, E. A.

AU - Aggoune, E. M.

AU - Bettayeb, M.

AU - Al-Duwaish, H. N.

PY - 1997/10/1

Y1 - 1997/10/1

N2 - This paper presents an artificial neural network based on-line approach to assess the dynamic stability of a single machine connected to an infinite bus system. The proposed approach is based on estimating the synchronizing and damping torque coefficients of the synchronous machine from voltage and power on-line measurements. Test results show that the proposed approach is very encouraging for fast evaluation of the dynamic stability.

AB - This paper presents an artificial neural network based on-line approach to assess the dynamic stability of a single machine connected to an infinite bus system. The proposed approach is based on estimating the synchronizing and damping torque coefficients of the synchronous machine from voltage and power on-line measurements. Test results show that the proposed approach is very encouraging for fast evaluation of the dynamic stability.

KW - Dynamic stability

KW - Neural networks

KW - Synchronizing and damping torques

UR - http://www.scopus.com/inward/record.url?scp=26844510110&partnerID=8YFLogxK

U2 - 10.1080/07313569708955792

DO - 10.1080/07313569708955792

M3 - Article

AN - SCOPUS:26844510110

SN - 0731-356X

VL - 25

SP - 993

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JO - Electric Machines and Power Systems

JF - Electric Machines and Power Systems

IS - 9

ER -

On-line estimation of synchronizing and damping torque coefficients using an artificial neural network based approach

Abstract

Keywords

ASJC Scopus subject areas

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