Knowledge-Based Approach Using Support Vector Machine for Transmission Line Distance Relay Co-ordination

Ravikumar, B and Thukaram, D and Khincha, HP (2008) Knowledge-Based Approach Using Support Vector Machine for Transmission Line Distance Relay Co-ordination. In: Journal of Electrical Engineering & Technology, 3 (3). pp. 363-372.

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Abstract

In this paper, knowledge-based approach using Support Vector Machines (SVMs) are used for estimating the coordinated zonal settings of a distance relay. The approach depends on the detailed simulation studies of apparent impedance loci as seen by distance relay during disturbance, considering various operating conditions including fault resistance. In a distance relay, the impedance loci given at the relay location is obtained from extensive transient stability studies. SVMs are used as a pattern classifier for obtaining distance relay co-ordination. The scheme utilizes the apparent impedance values observed during a fault as inputs. An improved performance with the use of SVMs, keeping the reach when faced with different fault conditions as well as system power flow changes, are illustrated with an equivalent 265 bus system of a practical Indian Western Grid.

Item Type:	Journal Article
Publication:	Journal of Electrical Engineering & Technology
Publisher:	Faculty of Electrical Engineering and Information Technology of the Slovak Technical University, and the Institute of Electrical Engineering of the Slovak Academy of Sciences
Additional Information:	Copyright of this article belongs to Faculty of Electrical Engineering and Information Technology of the Slovak Technical University, and the Institute of Electrical Engineering of the Slovak Academy of Sciences.
Keywords:	Apparent impedance loci;Distance relay;Fault resistance and knowledge-base;Support vector machines;Zonal co-ordination
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	10 Apr 2012 07:29
Last Modified:	10 Apr 2012 07:29
URI:	http://eprints.iisc.ac.in/id/eprint/44236

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