Loading…
General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion
For selective detection of earth faults in medium voltage networks, the general protection can be used, which unlike individual protections controls earth currents in all lines supplied from the substation. To detect high-resistance and arc faults, it is possible to use in such protections the detai...
Saved in:
Main Author: | |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3 |
---|---|
cites | cdi_FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3 |
container_end_page | |
container_issue | |
container_start_page | 2007 |
container_title | |
container_volume | 84 |
creator | Marciniak, Lubomir |
description | For selective detection of earth faults in medium voltage networks, the general protection can be used, which unlike individual protections controls earth currents in all lines supplied from the substation. To detect high-resistance and arc faults, it is possible to use in such protections the details from wavelet decomposition of earth currents and the Bayesian conditional probability criterion. The paper presents a protection model using details of earth currents and the Bayesian criterion. Significant parameters of the model were determined: sampling frequency, wavelet types and decomposition levels, parameters of the probability density function and decision conditions. The effectiveness of the protection in the case of non-stationary high-resistance short-circuits in the network with natural asymmetry and harmonic distortion was also assessed. |
doi_str_mv | 10.1051/e3sconf/20198402007 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_75f5ea80744f4ae6a67743715ae067ed</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_75f5ea80744f4ae6a67743715ae067ed</doaj_id><sourcerecordid>2301809817</sourcerecordid><originalsourceid>FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3</originalsourceid><addsrcrecordid>eNpNkU9LAzEQxRdRULSfwEvAc3Xyb5MeVbQKihf1GqbZSd263dQktfTbu1oRTzMMP97Mm1dVpxzOOWh-QTL72IcLAXxiFQgAs1cdCVGbMRdK7P_rD6tRzgsA4EIPqDqqcEo9JewYYSpvLOC6K2yVYiFf2tizEBN7fGU9lU1M75mtc9vP2QY_qaPCGvJxuYq5_WGxb9gVbim32DOf2kJpGJ9UBwG7TKPfely93N48X9-NH56m99eXD2MvrS1j3YCwtRIePJ-B4TOFAnltUOqJQqX1THkrTbAaoUFuNITJbPCB1BgwguRxdb_TbSIu3Cq1S0xbF7F1P4OY5m6w2PqOnNFBE1owSgWFVGNtjJKGaySoDTWD1tlOa_jEx5pycYu4Tv1wvhMSuIWJ5Wag5I7yKeacKPxt5eC-o3G_0bh_0cgvugCCqQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2301809817</pqid></control><display><type>conference_proceeding</type><title>General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion</title><source>ProQuest - Publicly Available Content Database</source><creator>Marciniak, Lubomir</creator><contributor>Łyp, J. ; Kornatka, M. ; Sowiński, J. ; Chwastek, K.</contributor><creatorcontrib>Marciniak, Lubomir ; Łyp, J. ; Kornatka, M. ; Sowiński, J. ; Chwastek, K.</creatorcontrib><description>For selective detection of earth faults in medium voltage networks, the general protection can be used, which unlike individual protections controls earth currents in all lines supplied from the substation. To detect high-resistance and arc faults, it is possible to use in such protections the details from wavelet decomposition of earth currents and the Bayesian conditional probability criterion. The paper presents a protection model using details of earth currents and the Bayesian criterion. Significant parameters of the model were determined: sampling frequency, wavelet types and decomposition levels, parameters of the probability density function and decision conditions. The effectiveness of the protection in the case of non-stationary high-resistance short-circuits in the network with natural asymmetry and harmonic distortion was also assessed.</description><identifier>ISSN: 2267-1242</identifier><identifier>ISSN: 2555-0403</identifier><identifier>EISSN: 2267-1242</identifier><identifier>DOI: 10.1051/e3sconf/20198402007</identifier><language>eng</language><publisher>Les Ulis: EDP Sciences</publisher><subject>Bayesian analysis ; Circuit protection ; Conditional probability ; Criteria ; Decomposition ; Earth faults ; Electrical transmission ; Fault detection ; Harmonic distortion ; Mathematical models ; Parameters ; Probability density functions ; Short circuits ; Substations ; Wavelet analysis</subject><ispartof>E3S Web of Conferences, 2019, Vol.84, p.2007</ispartof><rights>2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3</citedby><cites>FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2301809817?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,25753,27924,27925,37012,44590</link.rule.ids></links><search><contributor>Łyp, J.</contributor><contributor>Kornatka, M.</contributor><contributor>Sowiński, J.</contributor><contributor>Chwastek, K.</contributor><creatorcontrib>Marciniak, Lubomir</creatorcontrib><title>General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion</title><title>E3S Web of Conferences</title><description>For selective detection of earth faults in medium voltage networks, the general protection can be used, which unlike individual protections controls earth currents in all lines supplied from the substation. To detect high-resistance and arc faults, it is possible to use in such protections the details from wavelet decomposition of earth currents and the Bayesian conditional probability criterion. The paper presents a protection model using details of earth currents and the Bayesian criterion. Significant parameters of the model were determined: sampling frequency, wavelet types and decomposition levels, parameters of the probability density function and decision conditions. The effectiveness of the protection in the case of non-stationary high-resistance short-circuits in the network with natural asymmetry and harmonic distortion was also assessed.</description><subject>Bayesian analysis</subject><subject>Circuit protection</subject><subject>Conditional probability</subject><subject>Criteria</subject><subject>Decomposition</subject><subject>Earth faults</subject><subject>Electrical transmission</subject><subject>Fault detection</subject><subject>Harmonic distortion</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Probability density functions</subject><subject>Short circuits</subject><subject>Substations</subject><subject>Wavelet analysis</subject><issn>2267-1242</issn><issn>2555-0403</issn><issn>2267-1242</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkU9LAzEQxRdRULSfwEvAc3Xyb5MeVbQKihf1GqbZSd263dQktfTbu1oRTzMMP97Mm1dVpxzOOWh-QTL72IcLAXxiFQgAs1cdCVGbMRdK7P_rD6tRzgsA4EIPqDqqcEo9JewYYSpvLOC6K2yVYiFf2tizEBN7fGU9lU1M75mtc9vP2QY_qaPCGvJxuYq5_WGxb9gVbim32DOf2kJpGJ9UBwG7TKPfely93N48X9-NH56m99eXD2MvrS1j3YCwtRIePJ-B4TOFAnltUOqJQqX1THkrTbAaoUFuNITJbPCB1BgwguRxdb_TbSIu3Cq1S0xbF7F1P4OY5m6w2PqOnNFBE1owSgWFVGNtjJKGaySoDTWD1tlOa_jEx5pycYu4Tv1wvhMSuIWJ5Wag5I7yKeacKPxt5eC-o3G_0bh_0cgvugCCqQ</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Marciniak, Lubomir</creator><general>EDP Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20190101</creationdate><title>General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion</title><author>Marciniak, Lubomir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bayesian analysis</topic><topic>Circuit protection</topic><topic>Conditional probability</topic><topic>Criteria</topic><topic>Decomposition</topic><topic>Earth faults</topic><topic>Electrical transmission</topic><topic>Fault detection</topic><topic>Harmonic distortion</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Probability density functions</topic><topic>Short circuits</topic><topic>Substations</topic><topic>Wavelet analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marciniak, Lubomir</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest - Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>Directory of Open Access Journals (Open Access)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marciniak, Lubomir</au><au>Łyp, J.</au><au>Kornatka, M.</au><au>Sowiński, J.</au><au>Chwastek, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion</atitle><btitle>E3S Web of Conferences</btitle><date>2019-01-01</date><risdate>2019</risdate><volume>84</volume><spage>2007</spage><pages>2007-</pages><issn>2267-1242</issn><issn>2555-0403</issn><eissn>2267-1242</eissn><abstract>For selective detection of earth faults in medium voltage networks, the general protection can be used, which unlike individual protections controls earth currents in all lines supplied from the substation. To detect high-resistance and arc faults, it is possible to use in such protections the details from wavelet decomposition of earth currents and the Bayesian conditional probability criterion. The paper presents a protection model using details of earth currents and the Bayesian criterion. Significant parameters of the model were determined: sampling frequency, wavelet types and decomposition levels, parameters of the probability density function and decision conditions. The effectiveness of the protection in the case of non-stationary high-resistance short-circuits in the network with natural asymmetry and harmonic distortion was also assessed.</abstract><cop>Les Ulis</cop><pub>EDP Sciences</pub><doi>10.1051/e3sconf/20198402007</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2267-1242 |
ispartof | E3S Web of Conferences, 2019, Vol.84, p.2007 |
issn | 2267-1242 2555-0403 2267-1242 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_75f5ea80744f4ae6a67743715ae067ed |
source | ProQuest - Publicly Available Content Database |
subjects | Bayesian analysis Circuit protection Conditional probability Criteria Decomposition Earth faults Electrical transmission Fault detection Harmonic distortion Mathematical models Parameters Probability density functions Short circuits Substations Wavelet analysis |
title | General earth fault protection for MV networks using wavelet decomposition and Bayesian criterion |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A22%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=General%20earth%20fault%20protection%20for%20MV%20networks%20using%20wavelet%20decomposition%20and%20Bayesian%20criterion&rft.btitle=E3S%20Web%20of%20Conferences&rft.au=Marciniak,%20Lubomir&rft.date=2019-01-01&rft.volume=84&rft.spage=2007&rft.pages=2007-&rft.issn=2267-1242&rft.eissn=2267-1242&rft_id=info:doi/10.1051/e3sconf/20198402007&rft_dat=%3Cproquest_doaj_%3E2301809817%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c388t-5d028642c0c1b071b4a2a167a3594a455b4c837f85a0da1750f9b012aed7072e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2301809817&rft_id=info:pmid/&rfr_iscdi=true |