Artificial neural networks in power system restoration

Power system restoration (PSR) has been a subject of study for many 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....

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Bibliographic Details
Published in:IEEE transactions on power delivery 2003-10, Vol.18 (4), p.1181-1186
Main Authors: Bretas, A.S., Phadke, A.G.
Format: Article
Language:English
Subjects:
Artificial neural networks
Circuit breakers
Guidelines
Intelligent networks
Medical services
Power system analysis computing
Power system protection
Power system restoration
Signal restoration
Switching circuits
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Summary:Power system restoration (PSR) has been a subject of study for many 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 breadth-search 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.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2003.817500