The support vector machine application in the implementation of multidimensional relay protection

Power engineering digital transformation, the use of different intelligent electronic devices (IEDs), high-speed communication protocols provide extensive opportunities for relay protection and automation systems modernization of power utilities. One of the most promising avenues of power engineerin...

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Main Authors: Kulikov A.L., Bezdushniy D.I., Sharygin M.V., Osokin V.Yu.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/65/e3sconf_rses2019_01040.pdf
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author Kulikov A.L.
Bezdushniy D.I.
Sharygin M.V.
Osokin V.Yu.
author_facet Kulikov A.L.
Bezdushniy D.I.
Sharygin M.V.
Osokin V.Yu.
author_sort Kulikov A.L.
collection DOAJ
description Power engineering digital transformation, the use of different intelligent electronic devices (IEDs), high-speed communication protocols provide extensive opportunities for relay protection and automation systems modernization of power utilities. One of the most promising avenues of power engineering development is design of new protection devices, whose principles are based on the elements of artificial intelligence and machine learning. The article discusses the features of the application of one of the most common machine learning algorithms, the support vector machine, by the example of constructing a three-dimensional fault detector, which would serve to increase a transmission line stepped protection selectivity. The proposed fault detector has high recognition ability and ease of technical implementation as part of the protection IED.
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spelling doaj.art-2bbd48a784ba414d857a9b989dd2b2042022-12-21T22:49:11ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011390104010.1051/e3sconf/201913901040e3sconf_rses2019_01040The support vector machine application in the implementation of multidimensional relay protectionKulikov A.L.0Bezdushniy D.I.1Sharygin M.V.2Osokin V.Yu.3Nizhniy Novgorod State Technical UniversityNizhniy Novgorod State Technical UniversityNizhniy Novgorod State Technical UniversityNizhniy Novgorod State Technical UniversityPower engineering digital transformation, the use of different intelligent electronic devices (IEDs), high-speed communication protocols provide extensive opportunities for relay protection and automation systems modernization of power utilities. One of the most promising avenues of power engineering development is design of new protection devices, whose principles are based on the elements of artificial intelligence and machine learning. The article discusses the features of the application of one of the most common machine learning algorithms, the support vector machine, by the example of constructing a three-dimensional fault detector, which would serve to increase a transmission line stepped protection selectivity. The proposed fault detector has high recognition ability and ease of technical implementation as part of the protection IED.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/65/e3sconf_rses2019_01040.pdf
spellingShingle Kulikov A.L.
Bezdushniy D.I.
Sharygin M.V.
Osokin V.Yu.
The support vector machine application in the implementation of multidimensional relay protection
E3S Web of Conferences
title The support vector machine application in the implementation of multidimensional relay protection
title_full The support vector machine application in the implementation of multidimensional relay protection
title_fullStr The support vector machine application in the implementation of multidimensional relay protection
title_full_unstemmed The support vector machine application in the implementation of multidimensional relay protection
title_short The support vector machine application in the implementation of multidimensional relay protection
title_sort support vector machine application in the implementation of multidimensional relay protection
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/65/e3sconf_rses2019_01040.pdf
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