Dynamic stability screening of electric power systems using artificial neural networks

A. R. Edwards; Ka Wing Chan; R. W. Dunn; A. R. Daniels

Dynamic stability screening of electric power systems using artificial neural networks

A. R. Edwards, Ka Wing Chan, R. W. Dunn, A. R. Daniels

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper discusses a method for fast dynamic stability screening of large interconnected power systems. Composite indices, such as the variance of machine rotor angular momentum between the pre and immediate post contingency operating points, are shown to be especially suited as features for dynamic stability classification. This work uses composite indices as inputs to an artificial neural network to form a dynamic stability screen.

Original language	English
Title of host publication	Proceedings of the Universities Power Engineering Conference
Publisher	University of Greenwich
Pages	447-450
Number of pages	4
Publication status	Published - 1 Dec 1995
Externally published	Yes
Event	Proceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2) - London, United Kingdom Duration: 5 Sept 1995 → 7 Sept 1995

Conference

Conference	Proceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2)
Country/Territory	United Kingdom
City	London
Period	5/09/95 → 7/09/95

ASJC Scopus subject areas

General Energy
General Engineering

Cite this

@inproceedings{735751d24847443a96bc4a813d15718c,

title = "Dynamic stability screening of electric power systems using artificial neural networks",

abstract = "This paper discusses a method for fast dynamic stability screening of large interconnected power systems. Composite indices, such as the variance of machine rotor angular momentum between the pre and immediate post contingency operating points, are shown to be especially suited as features for dynamic stability classification. This work uses composite indices as inputs to an artificial neural network to form a dynamic stability screen.",

author = "Edwards, {A. R.} and Chan, {Ka Wing} and Dunn, {R. W.} and Daniels, {A. R.}",

year = "1995",

month = dec,

day = "1",

language = "English",

pages = "447--450",

booktitle = "Proceedings of the Universities Power Engineering Conference",

publisher = "University of Greenwich",

note = "Proceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2) ; Conference date: 05-09-1995 Through 07-09-1995",

}

Dynamic stability screening of electric power systems using artificial neural networks. / Edwards, A. R.; Chan, Ka Wing; Dunn, R. W. et al.
Proceedings of the Universities Power Engineering Conference. University of Greenwich, 1995. p. 447-450.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Dynamic stability screening of electric power systems using artificial neural networks

AU - Edwards, A. R.

AU - Chan, Ka Wing

AU - Dunn, R. W.

AU - Daniels, A. R.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - This paper discusses a method for fast dynamic stability screening of large interconnected power systems. Composite indices, such as the variance of machine rotor angular momentum between the pre and immediate post contingency operating points, are shown to be especially suited as features for dynamic stability classification. This work uses composite indices as inputs to an artificial neural network to form a dynamic stability screen.

AB - This paper discusses a method for fast dynamic stability screening of large interconnected power systems. Composite indices, such as the variance of machine rotor angular momentum between the pre and immediate post contingency operating points, are shown to be especially suited as features for dynamic stability classification. This work uses composite indices as inputs to an artificial neural network to form a dynamic stability screen.

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M3 - Conference article published in proceeding or book

SP - 447

EP - 450

BT - Proceedings of the Universities Power Engineering Conference

PB - University of Greenwich

T2 - Proceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2)

Y2 - 5 September 1995 through 7 September 1995

ER -

Dynamic stability screening of electric power systems using artificial neural networks

Abstract

Conference

ASJC Scopus subject areas

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Cite this