Contingency analysis of bulk power system using neural networks
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 th...
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| Format: | article |
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1998
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14157/1/14157_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14157/2/14157_2.doc |
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