Back to Search
Start Over
Artificial Neural Networks in Power System Restoration.
- Source :
-
IEEE Transactions on Power Delivery . Oct2003, Vol. 18 Issue 4, p1181-1186. 6p. 2 Black and White Photographs, 1 Diagram, 4 Charts. - Publication Year :
- 2003
-
Abstract
- Power system restoration (PSR) has been a subject of study for many years. In recent years, many techniques were proposed to solve the limitations of the predetermined restoration guidelines and procedures used by a majority of system operators to restore a system following the occurrence of a wide area disturbance. This paper discusses limitations encountered in some currently used PSR techniques and a proposed improvement based on artificial neural networks (ANNs). The proposed scheme is tested on a 162-bus transmission system and compared with a breadthsearch restoration scheme. The results indicate that the use of ANN in power system restoration is a feasible option that should be considered for real-time applications. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ARTIFICIAL neural networks
*ARTIFICIAL intelligence
*ELECTRIC power
Subjects
Details
- Language :
- English
- ISSN :
- 08858977
- Volume :
- 18
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Delivery
- Publication Type :
- Academic Journal
- Accession number :
- 11200358
- Full Text :
- https://doi.org/10.1109/TPWRD.2003.817500