On-line Voltage and Power Flow Contingencies Ranking Using Enhanced Radial Basis Function Neural Network and Kernel Principal Component Analysis

Timely and accurate assessment of voltage and power flow security is necessary to detect post-contingency problems in order to prevent a large-scale blackout. This article presents an enhanced radial basis function neural network based on a modified training algorithm for on-line ranking of the cont...

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Bibliographic Details

Published in:	Electric power components and systems Vol. 40; no. 5; pp. 534 - 555
Main Authors:	Javan, D. Seyed, Rajabi Mashhadi, H., Toussi, S. Ashkezari, Rouhani, M.
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis Group 01-03-2012 Taylor & Francis Ltd
Subjects:	Algorithms contingency Effectiveness Electric power feature extraction Neural networks performance index radial basis function neural network Simulation static security assessment
Online Access:	Get full text
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