Neural Network Approach to Identification and Control of Sub-Synchronous Resonance in Series Compensated Systems

Nagabhushana, BS and Chandrasekharaiah, * and Lai, LL and Vujatovic, D (1999) Neural Network Approach to Identification and Control of Sub-Synchronous Resonance in Series Compensated Systems. In: IEEE 1999 International Conference on Power Electronics and Drive Systems. PEDS '99, 27-29 July, Hong Kong, Vol.2, 683-687.

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Abstract

The development of a precise mathematical model for SSR is a complicated process, especially, in power systems involving multiple generators and series compensated transmission lines. Further, the analysis of the SSR phenomenon for the entire operating range is computationally intensive. In view of these situations, it is envisaged that neural networks can be effectively employed to design SSR countermeasures. This paper presents such a contribution. Examples on systems with thyristor controlled shunt reactor are used to illustrate the benefit gained from this approach.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	At present DOI is not working. Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Date Deposited:	08 Feb 2007
Last Modified:	19 Sep 2010 04:24
URI:	http://eprints.iisc.ac.in/id/eprint/5762

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