Contingency analysis of bulk power system using neural networks

(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
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:24
Last Modified: 01 Nov 2019 14:04
URI: https://eprints.kfupm.edu.sa/id/eprint/14157