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Estimation of switching transient peak overvoltages during transmission line energization using artificial neural network

Thukaram, D and Khincha, HP and Khandelwal, Sulabh (2006) Estimation of switching transient peak overvoltages during transmission line energization using artificial neural network. In: Electric Power Systems Research, 76 (4). 259 -269.

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Abstract

Overvoltages are one of the most frequently encountered problems during line energization. At the time of restoration transmission line switching is also one of the major causes, which creates overvoltage. The magnitude and shape of the switching overvoltages vary with the system parameters and network configuration and the point-on-wave where the switching operation takes place. Though detailed electromagnetic transient studies carried out for the design of transmission systems, such studies are not common in a day-to-day operation of power system. However it is important for the operator to ensure that peak overvoltages resulting from the switching operations are well within safe limits. This paper presents an Artificial Neural Network (ANN)-based approach to estimate the peak overvoltage generated by switching transients during line energization. In proposed methodology Levenberg-Marquardt method is used to train the multilayer perceptron. The developed ANN is trained with the extensive simulated results, and tested for typical cases. The simulated results presented clearly show that the proposed technique can estimate the peak values of switching overvoltages with good accuracy

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Elsavier.
Keywords: Artificial neural networks;Restoration;Electromagnetic transients;Switching surges;Line energization.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 23 Mar 2009 11:13
Last Modified: 19 Sep 2010 04:55
URI: http://eprints.iisc.ernet.in/id/eprint/17179

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