DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/396

Full metadata record

DC FieldValueLanguage
contributor.authorDash, P K-
contributor.authorSamantaray, S R-
contributor.authorPanda, G-
date.accessioned2007-01-08T10:27:31Z-
date.available2007-01-08T10:27:31Z-
date.issued2007-
identifier.citationIEEE Transactions on Power Delivery, Vol 22, No 1, P 67-73en
identifier.urihttp://hdl.handle.net/2080/396-
descriptionCopyright for this article belongs to IEEEen
description.abstractDistance protection of flexible ac transmission lines, including the thyristor-controlled series compensator (TCSC), static synchronous compensator, and static var compensator has been a very challenging task. This paper presents a new approach for the protection of TCSC line using a support vector machine (SVM). The proposed method uses postfault current samples for half cycle (ten samples) from the inception of the fault and firing angle as inputs to the SVM. Three SVMs are trained to provide fault classification, ground detection, and section identification, respectively, for the line using TCSC. The SVMs are trained with polynomial kernel and Gaussian kernel with different parameter values to get the most optimized classifier. The proposed method converges very fast with fewer numbers of training samples compared to neural-network and neuro-fuzzy systems which indicates fastness and accuracy of the proposed method for protection of the transmission line with TCSCen
format.extent606788 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectDistance protectionen
subjectflexible ac transmissionen
subjectsupport vector machineen
subjectthyristor-controlleden
titleFault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machineen
typeArticleen
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
paper_samantary.pdf592KbAdobe PDFView/Open

Show simple item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback