DocumentCode
1558575
Title
Stator Insulation Degradation Test Uses ASD Switching Frequency
Author
Kueck, John D. ; Haynes, Howard D. ; Staunton, Robert H.
Volume
22
Issue
1
fYear
2002
Firstpage
7
Lastpage
11
Abstract
Two sequential self-organizing hierarchical neural network (SHNN) models are utilized to estimate power system voltage stability. The first SHNN determines whether the power system is dynamically stable or not. The second one is used for the dynamically stable system to estimate the voltage magnitudes at all PQ buses. Tests results at different loading conditions for two test systems, WSCC nine-bus system and New England 39-bus system, are reported.
Keywords
control system analysis computing; power system analysis computing; power system control; power system dynamic stability; self-organising feature maps; PQ bus voltage magnitudes; computer simulation; control simulation; dynamic stability; loading conditions; power system voltage stability estimation; sequential self-organizing hierarchical neural network models; Degradation; Insulation testing; Power system dynamics; Power system modeling; Power system stability; Stators; Switching frequency; System testing; Variable speed drives; Voltage;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/39.975659
Filename
975659
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