Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13391
Title: On-line dynamic security contingency screening using artificial neural networks
Authors: Chan, KW 
Edwards, AR
Dunn, RW
Daniels, AR
Issue Date: 2000
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Generation, transmission, and distribution, 2000, v. 147, no. 6, p. 367-372 How to cite?
Journal: IEE proceedings. Generation, transmission, and distribution 
Abstract: On-line dynamic security analysis has now become realistic due to advances in computer technology and algorithms for security assessment. Details of pattern recognition based electromechanical stability screens which have been implemented within a dynamic security assessor are presented. Use of statistical functions of features is shown to overcome the dimensionality problem of applying pattern recognition techniques to large power systems. The low computational cost of this approach coupled with efficient operation has resulted in a significant step towards achieving full on-line dynamic security assessment.
URI: http://hdl.handle.net/10397/13391
ISSN: 1350-2360
EISSN: 1751-8695
DOI: 10.1049/ip-gtd:20000712
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