Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23628
Title: A sequential feature selection- based neural network approach to dynamic voltage stability estimation
Authors: Chung, TS
Fu, Y
Keywords: Artificial neural network (ANN)
Self-organizing hierarchical neural network
Voltage stability analysis
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE power engineering review, 2002, v. 22, no. 1, p. 51-55 How to cite?
Journal: IEEE power engineering review 
Abstract: Two sequential self-organizing hierarchical neural network (SHNN) models are utilized to estimate 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.
URI: http://hdl.handle.net/10397/23628
ISSN: 0272-1724
DOI: 10.1109/39.975659
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