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Contingency analysis of bulk power system using neural networks

Maghrabi, H. and Refaee, J.A. and Mohandes, M. (1998) Contingency analysis of bulk power system using neural networks. Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International conference, 2.

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Abstract

Radial basis function networks (RBFNs) are used for the contingency evaluation of bulk power systems. The motivation behind this work is to exploit the nonlinear mapping capabilities of RBFN in estimating line loading and bus voltages of a bulk power system following a contingency. Unlike most of the available neural network-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:August 1998
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Maghrabi, H. and Refaee, J.A. and Mohandes, M.
ID Code:14157
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:24
Last Modified:12 Apr 2011 13:15

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