Identification of fault location in power distribution system with distributed generation using support vector machines

Agrawal, Rimjhim and Thukaram, D (2013) Identification of fault location in power distribution system with distributed generation using support vector machines. In: Conference of the IEEE PES on Innovative Smart Grid Technologies (ISGT), FEB 24-27, 2013, Washington, DC.

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Abstract

This paper presents a multi-class support vector machine (SVMs) approach for locating and diagnosing faults in electric power distribution feeders with the penetration of Distributed Generations (DGs). The proposed approach is based on the three phase voltage and current measurements which are available at all the sources i.e. substation and at the connection points of DG. To illustrate the proposed methodology, a practical distribution feeder emanating from 132/11kV-grid substation in India with loads and suitable number of DGs at different locations is considered. To show the effectiveness of the proposed methodology, practical situations in distribution systems (DS) such as all types of faults with a wide range of varying fault locations, source short circuit (SSC) levels and fault impedances are considered for studies. The proposed fault location scheme is capable of accurately identify the fault type, location of faulted feeder section and the fault impedance. The results demonstrate the feasibility of applying the proposed method in practical in smart grid distribution automation (DA) for fault diagnosis.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	20 Sep 2013 12:19
Last Modified:	20 Sep 2013 12:19
URI:	http://eprints.iisc.ac.in/id/eprint/47238

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