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Radial basis function networks for contingency analysis of bulkpower systems

Refaee, J.A. and Mohandes, M. and Maghrabi, H. (1999) Radial basis function networks for contingency analysis of bulkpower systems. Power Systems, IEEE Transactions on, 14.

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Abstract

Radial basis function networks (RBFNs) are used for contingency evaluation of bulk power system. The motivation behind this work is to exploit the nonlinear mapping capabilities of RBFN in estimating line loading and bus voltage of a bulk power system following a contingency. Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a standard AC load flow algorithm



Item Type:Article
Date:May 1999
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Refaee, J.A. and Mohandes, M. and Maghrabi, H.
ID Code:14077
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:21
Last Modified:12 Apr 2011 13:14

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