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Knowledge-Based Approach Using Support Vector Machine for Transmission Line Distance Relay Co-ordination
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 Title & Authors
Knowledge-Based Approach Using Support Vector Machine for Transmission Line Distance Relay Co-ordination
Ravikumar, B.; Thukaram, D.; Khincha, H.P.;
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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.
 Keywords
Apparent impedance loci;Distance relay;Fault resistance and knowledge-base;Support vector machines;Zonal co-ordination;
 Language
English
 Cited by
1.
Comparison of Multiclass SVM Classification Methods to Use in a Supportive System for Distance Relay Coordination, IEEE Transactions on Power Delivery, 2010, 25, 3, 1296  crossref(new windwow)
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