Loading…
Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools
The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary power distribution networks. Through the interconnection of this automated syst...
Saved in:
Published in: | Revista IEEE América Latina 2011-07, Vol.9 (4), p.522-527 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | 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-c252t-f15d3dfe9925df8eb171bda7e833b5f9f03f00ec88ed36a9af7a41a4a27876713 |
---|---|
cites | |
container_end_page | 527 |
container_issue | 4 |
container_start_page | 522 |
container_title | Revista IEEE América Latina |
container_volume | 9 |
creator | Zamboni, L. Nunes da Silva, Ivan Nascimento Soares, Leandro Souza Fernandes, Ricardo Augusto |
description | The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary power distribution networks. Through the interconnection of this automated system to the utility operation center, it will be possible to provide an efficient tool that will assist in decision-making by the Operation Center. In short, the desired purpose aims to have all tools necessary to identify, almost instantaneously, the occurrence of faults and transient disturbances in the primary power distribution system, as well as to determine its respective origin and probable location. The compilations of results from the application of this automated system show that the developed techniques provide accurate results, identifying and locating several occurrences of faults observed in the distribution system. |
doi_str_mv | 10.1109/TLA.2011.5993738 |
format | article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_5993738</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5993738</ieee_id><sourcerecordid>919930645</sourcerecordid><originalsourceid>FETCH-LOGICAL-c252t-f15d3dfe9925df8eb171bda7e833b5f9f03f00ec88ed36a9af7a41a4a27876713</originalsourceid><addsrcrecordid>eNpdkM9LwzAUx4soOKd3wUvw4qkzafojOY7pdDBQcDuHtH0ZGW0zkxTZf2_WTRFPLy_v8x5fPlF0S_CEEMwfV8vpJMGETDLOaUHZWTQiWcpizHly_ud9GV05t8WYspzRUdTOZd949AQeKq9Nh3SH3s0XWPSknbe67Iffj73z0Dq0drrboGnvTSs91GjRedhYOTBGoZlpd70fWtkMw6bRG-gqQCtjGncdXSjZOLg51XG0nj-vZq_x8u1lMZsu4yrJEh8rktW0VhDiZrViUJKClLUsgFFaZoorTBXGUDEGNc0ll6qQKZGpTApW5AWh4-jheHdnzWcPzotWuyqEkR2Y3glOgiScp1kg7_-RW9PbkN4JxtK8SPOEBwgfocoa5ywosbO6lXYvCBYH-yLYFwf74mQ_rNwdVzQA_OI_02--noKG</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>884674629</pqid></control><display><type>article</type><title>Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools</title><source>IEEE Xplore (Online service)</source><creator>Zamboni, L. ; Nunes da Silva, Ivan ; Nascimento Soares, Leandro ; Souza Fernandes, Ricardo Augusto</creator><creatorcontrib>Zamboni, L. ; Nunes da Silva, Ivan ; Nascimento Soares, Leandro ; Souza Fernandes, Ricardo Augusto</creatorcontrib><description>The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary power distribution networks. Through the interconnection of this automated system to the utility operation center, it will be possible to provide an efficient tool that will assist in decision-making by the Operation Center. In short, the desired purpose aims to have all tools necessary to identify, almost instantaneously, the occurrence of faults and transient disturbances in the primary power distribution system, as well as to determine its respective origin and probable location. The compilations of results from the application of this automated system show that the developed techniques provide accurate results, identifying and locating several occurrences of faults observed in the distribution system.</description><identifier>ISSN: 1548-0992</identifier><identifier>EISSN: 1548-0992</identifier><identifier>DOI: 10.1109/TLA.2011.5993738</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Architecture ; Automated ; Automation ; Computer programs ; Electrical fault detection ; Expert Systems ; Fault detection ; Fault diagnosis ; Fault Location ; Faults ; Field-flow fractionation ; Intelligence ; Intelligent Systems ; Monitoring ; Networks ; Position (location) ; Power distribution ; Power System Protection ; Software</subject><ispartof>Revista IEEE América Latina, 2011-07, Vol.9 (4), p.522-527</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2011</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c252t-f15d3dfe9925df8eb171bda7e833b5f9f03f00ec88ed36a9af7a41a4a27876713</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5993738$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Zamboni, L.</creatorcontrib><creatorcontrib>Nunes da Silva, Ivan</creatorcontrib><creatorcontrib>Nascimento Soares, Leandro</creatorcontrib><creatorcontrib>Souza Fernandes, Ricardo Augusto</creatorcontrib><title>Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools</title><title>Revista IEEE América Latina</title><addtitle>T-LA</addtitle><description>The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary power distribution networks. Through the interconnection of this automated system to the utility operation center, it will be possible to provide an efficient tool that will assist in decision-making by the Operation Center. In short, the desired purpose aims to have all tools necessary to identify, almost instantaneously, the occurrence of faults and transient disturbances in the primary power distribution system, as well as to determine its respective origin and probable location. The compilations of results from the application of this automated system show that the developed techniques provide accurate results, identifying and locating several occurrences of faults observed in the distribution system.</description><subject>Architecture</subject><subject>Automated</subject><subject>Automation</subject><subject>Computer programs</subject><subject>Electrical fault detection</subject><subject>Expert Systems</subject><subject>Fault detection</subject><subject>Fault diagnosis</subject><subject>Fault Location</subject><subject>Faults</subject><subject>Field-flow fractionation</subject><subject>Intelligence</subject><subject>Intelligent Systems</subject><subject>Monitoring</subject><subject>Networks</subject><subject>Position (location)</subject><subject>Power distribution</subject><subject>Power System Protection</subject><subject>Software</subject><issn>1548-0992</issn><issn>1548-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkM9LwzAUx4soOKd3wUvw4qkzafojOY7pdDBQcDuHtH0ZGW0zkxTZf2_WTRFPLy_v8x5fPlF0S_CEEMwfV8vpJMGETDLOaUHZWTQiWcpizHly_ud9GV05t8WYspzRUdTOZd949AQeKq9Nh3SH3s0XWPSknbe67Iffj73z0Dq0drrboGnvTSs91GjRedhYOTBGoZlpd70fWtkMw6bRG-gqQCtjGncdXSjZOLg51XG0nj-vZq_x8u1lMZsu4yrJEh8rktW0VhDiZrViUJKClLUsgFFaZoorTBXGUDEGNc0ll6qQKZGpTApW5AWh4-jheHdnzWcPzotWuyqEkR2Y3glOgiScp1kg7_-RW9PbkN4JxtK8SPOEBwgfocoa5ywosbO6lXYvCBYH-yLYFwf74mQ_rNwdVzQA_OI_02--noKG</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Zamboni, L.</creator><creator>Nunes da Silva, Ivan</creator><creator>Nascimento Soares, Leandro</creator><creator>Souza Fernandes, Ricardo Augusto</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201107</creationdate><title>Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools</title><author>Zamboni, L. ; Nunes da Silva, Ivan ; Nascimento Soares, Leandro ; Souza Fernandes, Ricardo Augusto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c252t-f15d3dfe9925df8eb171bda7e833b5f9f03f00ec88ed36a9af7a41a4a27876713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Architecture</topic><topic>Automated</topic><topic>Automation</topic><topic>Computer programs</topic><topic>Electrical fault detection</topic><topic>Expert Systems</topic><topic>Fault detection</topic><topic>Fault diagnosis</topic><topic>Fault Location</topic><topic>Faults</topic><topic>Field-flow fractionation</topic><topic>Intelligence</topic><topic>Intelligent Systems</topic><topic>Monitoring</topic><topic>Networks</topic><topic>Position (location)</topic><topic>Power distribution</topic><topic>Power System Protection</topic><topic>Software</topic><toplevel>online_resources</toplevel><creatorcontrib>Zamboni, L.</creatorcontrib><creatorcontrib>Nunes da Silva, Ivan</creatorcontrib><creatorcontrib>Nascimento Soares, Leandro</creatorcontrib><creatorcontrib>Souza Fernandes, Ricardo Augusto</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Revista IEEE América Latina</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zamboni, L.</au><au>Nunes da Silva, Ivan</au><au>Nascimento Soares, Leandro</au><au>Souza Fernandes, Ricardo Augusto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools</atitle><jtitle>Revista IEEE América Latina</jtitle><stitle>T-LA</stitle><date>2011-07</date><risdate>2011</risdate><volume>9</volume><issue>4</issue><spage>522</spage><epage>527</epage><pages>522-527</pages><issn>1548-0992</issn><eissn>1548-0992</eissn><abstract>The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary power distribution networks. Through the interconnection of this automated system to the utility operation center, it will be possible to provide an efficient tool that will assist in decision-making by the Operation Center. In short, the desired purpose aims to have all tools necessary to identify, almost instantaneously, the occurrence of faults and transient disturbances in the primary power distribution system, as well as to determine its respective origin and probable location. The compilations of results from the application of this automated system show that the developed techniques provide accurate results, identifying and locating several occurrences of faults observed in the distribution system.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/TLA.2011.5993738</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1548-0992 |
ispartof | Revista IEEE América Latina, 2011-07, Vol.9 (4), p.522-527 |
issn | 1548-0992 1548-0992 |
language | eng |
recordid | cdi_ieee_primary_5993738 |
source | IEEE Xplore (Online service) |
subjects | Architecture Automated Automation Computer programs Electrical fault detection Expert Systems Fault detection Fault diagnosis Fault Location Faults Field-flow fractionation Intelligence Intelligent Systems Monitoring Networks Position (location) Power distribution Power System Protection Software |
title | Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T03%3A47%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fault%20Detection%20in%20Power%20Distribution%20Systems%20Using%20Automated%20Integration%20of%20Computational%20Intelligence%20Tools&rft.jtitle=Revista%20IEEE%20Am%C3%A9rica%20Latina&rft.au=Zamboni,%20L.&rft.date=2011-07&rft.volume=9&rft.issue=4&rft.spage=522&rft.epage=527&rft.pages=522-527&rft.issn=1548-0992&rft.eissn=1548-0992&rft_id=info:doi/10.1109/TLA.2011.5993738&rft_dat=%3Cproquest_ieee_%3E919930645%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c252t-f15d3dfe9925df8eb171bda7e833b5f9f03f00ec88ed36a9af7a41a4a27876713%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=884674629&rft_id=info:pmid/&rft_ieee_id=5993738&rfr_iscdi=true |