Artificial neural network approach in determining voltage stability in power system networks

Arunagiri, A. and Venkatesh, B. and Morris, S. (2002) Artificial neural network approach in determining voltage stability in power system networks. In: Proceedings of the 9th International Conference Neural Information Processing, 2002. ICONIP '02. IEEE Xplore, 2304 -2307. ISBN 981-04-7524-1

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Abstract

Voltage stability problems have been one of the major concerns for electric utilities as a result of system heavy loading. As electric power systems are operated under increasingly stressed conditions, the ability to maintain voltage stability becomes a growing concern. This paper reports on an investigation on the application of artificial neural networks (ANNs) in voltage stability assessment. A multilayer feedforward ANN with error back propagation learning is proposed for calculation of voltage stability index (L). Extensive testing of the proposed ANN based approach indicates its viability for power system voltage assessment. Test results are presented on two sample power systems.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Jan 2014 02:57
Last Modified: 13 Jan 2014 02:57
URI: http://shdl.mmu.edu.my/id/eprint/4805

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