Accurate fault identification method based on real-time substation graph mapping
In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can b...
Gespeichert in:
Veröffentlicht in: | Dianli Xitong Baohu yu Kongzhi 2015-04, Vol.43 (8), p.58-63 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | chi |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 63 |
---|---|
container_issue | 8 |
container_start_page | 58 |
container_title | Dianli Xitong Baohu yu Kongzhi |
container_volume | 43 |
creator | Li, Naiyong Lin, Xia Li, Jing Huang, Bingqing Li, Yao Wang, Xin Wu, Jinyu Liu, Chenglu |
description | In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can be calculated in real time through the general information unified modeling station equipment and mapping technology. The fault vector analysis diagnosis method provides an effective tool for fault location and accurate evaluation of protection operation. Example analysis shows that each gap unit fault data can be shown in a visual unity and fault location and fault type can be identified quickly and accurately. This system provides a much-needed decision support in several fault handling of the large-scale power grid. |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1701114118</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1701114118</sourcerecordid><originalsourceid>FETCH-LOGICAL-p103t-46b05e0e0108c63599c01a718ab39a08564370826394439a613118be512ae8a93</originalsourceid><addsrcrecordid>eNotjMtqwzAQRbVooSHNP2jZjWEmelhahtAXBNpFug4jeZwI_Kol_38N6epyD_fcB7FBW-tKaTRPYpdzCgAKjbHOb8T3IcZlpsKypaUrMjU8lNSmSCWNg-y53MZGBsrcyLXPTF1VUs8yLyGX--g603STPU1TGq7P4rGlLvPuP7fi5-31fPyoTl_vn8fDqZoQVKm0DWAYGBBctMp4HwGpRkdBeQJnrFY1uL1VXuuVWFSILrDBPbEjr7bi5f47zePvwrlc-pQjdx0NPC75gjUgol4l9QeW4UvH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1701114118</pqid></control><display><type>article</type><title>Accurate fault identification method based on real-time substation graph mapping</title><source>DOAJ Directory of Open Access Journals</source><creator>Li, Naiyong ; Lin, Xia ; Li, Jing ; Huang, Bingqing ; Li, Yao ; Wang, Xin ; Wu, Jinyu ; Liu, Chenglu</creator><creatorcontrib>Li, Naiyong ; Lin, Xia ; Li, Jing ; Huang, Bingqing ; Li, Yao ; Wang, Xin ; Wu, Jinyu ; Liu, Chenglu</creatorcontrib><description>In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can be calculated in real time through the general information unified modeling station equipment and mapping technology. The fault vector analysis diagnosis method provides an effective tool for fault location and accurate evaluation of protection operation. Example analysis shows that each gap unit fault data can be shown in a visual unity and fault location and fault type can be identified quickly and accurately. This system provides a much-needed decision support in several fault handling of the large-scale power grid.</description><identifier>ISSN: 1674-3415</identifier><language>chi</language><subject>Diagnosis ; Fault location ; Faults ; Graphs ; Identification methods ; Mapping ; Real time ; Substations</subject><ispartof>Dianli Xitong Baohu yu Kongzhi, 2015-04, Vol.43 (8), p.58-63</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782</link.rule.ids></links><search><creatorcontrib>Li, Naiyong</creatorcontrib><creatorcontrib>Lin, Xia</creatorcontrib><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Huang, Bingqing</creatorcontrib><creatorcontrib>Li, Yao</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Wu, Jinyu</creatorcontrib><creatorcontrib>Liu, Chenglu</creatorcontrib><title>Accurate fault identification method based on real-time substation graph mapping</title><title>Dianli Xitong Baohu yu Kongzhi</title><description>In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can be calculated in real time through the general information unified modeling station equipment and mapping technology. The fault vector analysis diagnosis method provides an effective tool for fault location and accurate evaluation of protection operation. Example analysis shows that each gap unit fault data can be shown in a visual unity and fault location and fault type can be identified quickly and accurately. This system provides a much-needed decision support in several fault handling of the large-scale power grid.</description><subject>Diagnosis</subject><subject>Fault location</subject><subject>Faults</subject><subject>Graphs</subject><subject>Identification methods</subject><subject>Mapping</subject><subject>Real time</subject><subject>Substations</subject><issn>1674-3415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNotjMtqwzAQRbVooSHNP2jZjWEmelhahtAXBNpFug4jeZwI_Kol_38N6epyD_fcB7FBW-tKaTRPYpdzCgAKjbHOb8T3IcZlpsKypaUrMjU8lNSmSCWNg-y53MZGBsrcyLXPTF1VUs8yLyGX--g603STPU1TGq7P4rGlLvPuP7fi5-31fPyoTl_vn8fDqZoQVKm0DWAYGBBctMp4HwGpRkdBeQJnrFY1uL1VXuuVWFSILrDBPbEjr7bi5f47zePvwrlc-pQjdx0NPC75gjUgol4l9QeW4UvH</recordid><startdate>20150416</startdate><enddate>20150416</enddate><creator>Li, Naiyong</creator><creator>Lin, Xia</creator><creator>Li, Jing</creator><creator>Huang, Bingqing</creator><creator>Li, Yao</creator><creator>Wang, Xin</creator><creator>Wu, Jinyu</creator><creator>Liu, Chenglu</creator><scope>7SP</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20150416</creationdate><title>Accurate fault identification method based on real-time substation graph mapping</title><author>Li, Naiyong ; Lin, Xia ; Li, Jing ; Huang, Bingqing ; Li, Yao ; Wang, Xin ; Wu, Jinyu ; Liu, Chenglu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p103t-46b05e0e0108c63599c01a718ab39a08564370826394439a613118be512ae8a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2015</creationdate><topic>Diagnosis</topic><topic>Fault location</topic><topic>Faults</topic><topic>Graphs</topic><topic>Identification methods</topic><topic>Mapping</topic><topic>Real time</topic><topic>Substations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Naiyong</creatorcontrib><creatorcontrib>Lin, Xia</creatorcontrib><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Huang, Bingqing</creatorcontrib><creatorcontrib>Li, Yao</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Wu, Jinyu</creatorcontrib><creatorcontrib>Liu, Chenglu</creatorcontrib><collection>Electronics & Communications Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Dianli Xitong Baohu yu Kongzhi</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Naiyong</au><au>Lin, Xia</au><au>Li, Jing</au><au>Huang, Bingqing</au><au>Li, Yao</au><au>Wang, Xin</au><au>Wu, Jinyu</au><au>Liu, Chenglu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate fault identification method based on real-time substation graph mapping</atitle><jtitle>Dianli Xitong Baohu yu Kongzhi</jtitle><date>2015-04-16</date><risdate>2015</risdate><volume>43</volume><issue>8</issue><spage>58</spage><epage>63</epage><pages>58-63</pages><issn>1674-3415</issn><abstract>In order to improve the rapidity of power system fault analysis and processing, this paper introduces a kind of fault identification method based on the real-time substation graph mapping, with which fault wave record and protection information can automatically upload and fault current vector can be calculated in real time through the general information unified modeling station equipment and mapping technology. The fault vector analysis diagnosis method provides an effective tool for fault location and accurate evaluation of protection operation. Example analysis shows that each gap unit fault data can be shown in a visual unity and fault location and fault type can be identified quickly and accurately. This system provides a much-needed decision support in several fault handling of the large-scale power grid.</abstract><tpages>6</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1674-3415 |
ispartof | Dianli Xitong Baohu yu Kongzhi, 2015-04, Vol.43 (8), p.58-63 |
issn | 1674-3415 |
language | chi |
recordid | cdi_proquest_miscellaneous_1701114118 |
source | DOAJ Directory of Open Access Journals |
subjects | Diagnosis Fault location Faults Graphs Identification methods Mapping Real time Substations |
title | Accurate fault identification method based on real-time substation graph mapping |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T08%3A06%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accurate%20fault%20identification%20method%20based%20on%20real-time%20substation%20graph%20mapping&rft.jtitle=Dianli%20Xitong%20Baohu%20yu%20Kongzhi&rft.au=Li,%20Naiyong&rft.date=2015-04-16&rft.volume=43&rft.issue=8&rft.spage=58&rft.epage=63&rft.pages=58-63&rft.issn=1674-3415&rft_id=info:doi/&rft_dat=%3Cproquest%3E1701114118%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1701114118&rft_id=info:pmid/&rfr_iscdi=true |