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Transient stability assessment using artificial neural network considering fault location
Joint Authors
Olulope, P. K.
Folly, K. A.
Chowdhury, S.
Chowdhury, S. P.
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 6, Issue 1 (30 Jun. 2010), pp.67-72, 6 p.
Publisher
University of Basrah College of Engineering
Publication Date
2010-06-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
- Artificial intelligence
- Simulation methods
- Data processing
- Logic machines
- Neural networks(Computer science)
- Bionics
Abstract EN
This paper describes the capability of artificial neural network for predicting the critical clearing time of power system.
It combines the advantages of time domain integration schemes with artificial neural network for real time transient stability assessment.
The training of ANN is done using selected features as input and critical fault clearing time (CCT) as desire target.
A single contingency was applied and the target CCT was found using time domain simulation.
Multi layer feed forward neural network trained with Levenberg Marquardt (LM) back propagation algorithm is used to provide the estimated CCT.
The effectiveness of ANN, the method is demonstrated on single machine infinite bus system (SMIB).
The simulation shows that ANN can provide fast and accurate mapping which makes it applicable to real time scenario.
American Psychological Association (APA)
Olulope, P. K.& Folly, K. A.& Chowdhury, S.& Chowdhury, S. P.. 2010. Transient stability assessment using artificial neural network considering fault location. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 6, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-289067
Modern Language Association (MLA)
Folly, K. A.…[et al.]. Transient stability assessment using artificial neural network considering fault location. The Iraqi Journal of Electrical and Electronic Engineering Vol. 6, no. 1 (2010), pp.67-72.
https://search.emarefa.net/detail/BIM-289067
American Medical Association (AMA)
Olulope, P. K.& Folly, K. A.& Chowdhury, S.& Chowdhury, S. P.. Transient stability assessment using artificial neural network considering fault location. The Iraqi Journal of Electrical and Electronic Engineering. 2010. Vol. 6, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-289067
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 72
Record ID
BIM-289067