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Identification of Catastrophic Failures in Power System Using Pattern Recognition and Fuzzy Estimation.

Authors :
Hazra, Jagabondhu
Sinha, Avinash K.
Source :
IEEE Transactions on Power Systems; Feb2009, Vol. 24 Issue 1, p378-387, 10p, 2 Black and White Photographs, 6 Charts, 4 Graphs
Publication Year :
2009

Abstract

This paper presents a new approach for finding the sequence of events that may lead to catastrophic failure in a power system. The probable sequences (of events) leading to catastrophic failures are identified using risk indices which incorporate the severity as well as the probability of the contingencies. Probable collapse sequences are identified offline for different possible loading conditions using a modified fast decoupled load flow method which considers the voltage and frequency dependence of loads and generator regulation characteristics and stored in a knowledge base. Pattern recognition method and fuzzy estimation are used for online identification of collapse sequences for any operating condition from the stored database (knowledge base). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858950
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
IEEE Transactions on Power Systems
Publication Type :
Academic Journal
Accession number :
39366351
Full Text :
https://doi.org/10.1109/TPWRS.2008.2009475