Application of neural networks for power system security evaluation

Dangi, Kusum, Niazi, K. R. and Bansal, R. C. (2010) Application of neural networks for power system security evaluation. International Journal of Electrical Energy Systems, 2 1: 35-47.

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Author Dangi, Kusum
Niazi, K. R.
Bansal, R. C.
Title Application of neural networks for power system security evaluation
Journal name International Journal of Electrical Energy Systems
ISSN 0975-7147
Publication date 2010-01
Sub-type Article (original research)
Volume 2
Issue 1
Start page 35
End page 47
Total pages 13
Place of publication New Delhi, India
Publisher International Sciences Press
Collection year 2011
Language eng
Subject 0906 Electrical and Electronic Engineering
Abstract A crucial part of power system operation is on-line power system security evaluation which involves monitoring, assessment and control to decide whether the system’s operating state is safe, critical or unsafe. Fast and accurate security assessment has become a key issue to ensure secure operation of modern power systems. Artificial Neural Network (ANN) based techniques are best suited for discriminating between secure and insecure states in terms of overloads and voltage variations while examining large sets of power system contingencies. This paper gives an extended bibliographical survey and statistics of the various ANN approaches applied for power system security evaluation. A total of 230 papers are reported for the period 1989-2009. © International Science Press
Keyword Artificial neural networks
Contingency analysis
Power system security
Power system stability
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Tue, 21 Sep 2010, 18:45:40 EST by Maria Campbell on behalf of School of Information Technol and Elec Engineering