DocumentCode
1897934
Title
On-line transient stability assessment using artificial neural network
Author
Sawhney, Harinder ; Jeyasurya, B.
Author_Institution
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
fYear
2004
fDate
28-30 July 2004
Firstpage
76
Lastpage
80
Abstract
This paper proposes an application of artificial neural network (ANN) for contingency screening and ranking of a power system with respect to transient stability. Feature selection techniques are used to select the important features as input to the neural network. The proposed scheme is applied to two sample power systems. Results presented show the merit of the scheme for on-line transient stability assessment (TSA).
Keywords
neural nets; online operation; power engineering computing; power system transient stability; artificial neural network; feature selection techniques; online transient stability assessment; Artificial neural networks; Neural networks; Power system dynamics; Power system faults; Power system modeling; Power system reliability; Power system security; Power system stability; Power system transients; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering, 2004. LESCOPE-04. 2004 Large Engineering systems Conference on
Print_ISBN
0-7803-8386-9
Type
conf
DOI
10.1109/LESCPE.2004.1356272
Filename
1356272
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