An approach for fast power restoration plan in a distribution system using ANFIS

Power utilities always look for alternative ways to improve their system capabilities and reduce customer average interruption duration index. One method to achieve this requirement is to prepare fast power restoration plan according to known fault points in terms of geometrical coordinates. This pa...

Full description

Saved in:
Bibliographic Details
Main Authors: Ghani, R. A., Hashim, A. M., Othman, M. F.
Format: Conference Proceeding
Language:English
Subjects:
ANFIS
breaker and line isolator switches
practical distribution system
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 160
container_issue
container_start_page 156
container_title
container_volume
creator Ghani, R. A.
Hashim, A. M.
Othman, M. F.
description Power utilities always look for alternative ways to improve their system capabilities and reduce customer average interruption duration index. One method to achieve this requirement is to prepare fast power restoration plan according to known fault points in terms of geometrical coordinates. This paper presents an intelligent technique for fast and accurate restoration plan using XY coordinates fault points. The proposed technique is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for representing each breaker and line isolator switches in the power network. First, fault point data are obtained from a developed fault location system. Then, it is used to provide information about the operating status of the switches. This technique produces satisfactory result with maximum absolute error of 0.024 for all used switches. The result was validated by analyzing the operation of the breakers and line isolators in a practical distribution system of 47 buses.
doi_str_mv 10.1109/ISIEA.2012.6496619
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6496619</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6496619</ieee_id><sourcerecordid>6496619</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-ba229f976476bbd975161510c29f0705b9252fed44b1f0c089be5f65dfa67a253</originalsourceid><addsrcrecordid>eNo1kM1KAzEcxCMiqHVfQC95gV3_-W6OS2ntQlGhei7JbqKRdndJUqRv76L1NMyPmTkMQvcEKkJAPzbbZllXFAitJNdSEn2BCq3mhEvFGIBgl-j233B2jYqUvgBgKkuqxA16rXtsxjEOpv3EfojYm5TxOHy7iKNLeYgmh6HH4970OExZ3IWUY7DHX5xOKbsDPqbQf-D6edVs79CVN_vkirPO0Ptq-bZYl5uXp2ZRb8pAlMilNZRqr5XkSlrbaSWIJIJAO1FQIKymgnrXcW6Jhxbm2jrhpei8kcpQwWbo4W83OOd2YwwHE0-78wnsB1nqT9k</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>An approach for fast power restoration plan in a distribution system using ANFIS</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ghani, R. A. ; Hashim, A. M. ; Othman, M. F.</creator><creatorcontrib>Ghani, R. A. ; Hashim, A. M. ; Othman, M. F.</creatorcontrib><description>Power utilities always look for alternative ways to improve their system capabilities and reduce customer average interruption duration index. One method to achieve this requirement is to prepare fast power restoration plan according to known fault points in terms of geometrical coordinates. This paper presents an intelligent technique for fast and accurate restoration plan using XY coordinates fault points. The proposed technique is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for representing each breaker and line isolator switches in the power network. First, fault point data are obtained from a developed fault location system. Then, it is used to provide information about the operating status of the switches. This technique produces satisfactory result with maximum absolute error of 0.024 for all used switches. The result was validated by analyzing the operation of the breakers and line isolators in a practical distribution system of 47 buses.</description><identifier>ISBN: 1467330043</identifier><identifier>ISBN: 9781467330046</identifier><identifier>EISBN: 9781467330053</identifier><identifier>EISBN: 1467330051</identifier><identifier>DOI: 10.1109/ISIEA.2012.6496619</identifier><language>eng</language><publisher>IEEE</publisher><subject>ANFIS ; breaker and line isolator switches ; practical distribution system</subject><ispartof>2012 IEEE Symposium on Industrial Electronics and Applications, 2012, p.156-160</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6496619$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2057,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6496619$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ghani, R. A.</creatorcontrib><creatorcontrib>Hashim, A. M.</creatorcontrib><creatorcontrib>Othman, M. F.</creatorcontrib><title>An approach for fast power restoration plan in a distribution system using ANFIS</title><title>2012 IEEE Symposium on Industrial Electronics and Applications</title><addtitle>ISIEA</addtitle><description>Power utilities always look for alternative ways to improve their system capabilities and reduce customer average interruption duration index. One method to achieve this requirement is to prepare fast power restoration plan according to known fault points in terms of geometrical coordinates. This paper presents an intelligent technique for fast and accurate restoration plan using XY coordinates fault points. The proposed technique is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for representing each breaker and line isolator switches in the power network. First, fault point data are obtained from a developed fault location system. Then, it is used to provide information about the operating status of the switches. This technique produces satisfactory result with maximum absolute error of 0.024 for all used switches. The result was validated by analyzing the operation of the breakers and line isolators in a practical distribution system of 47 buses.</description><subject>ANFIS</subject><subject>breaker and line isolator switches</subject><subject>practical distribution system</subject><isbn>1467330043</isbn><isbn>9781467330046</isbn><isbn>9781467330053</isbn><isbn>1467330051</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kM1KAzEcxCMiqHVfQC95gV3_-W6OS2ntQlGhei7JbqKRdndJUqRv76L1NMyPmTkMQvcEKkJAPzbbZllXFAitJNdSEn2BCq3mhEvFGIBgl-j233B2jYqUvgBgKkuqxA16rXtsxjEOpv3EfojYm5TxOHy7iKNLeYgmh6HH4970OExZ3IWUY7DHX5xOKbsDPqbQf-D6edVs79CVN_vkirPO0Ptq-bZYl5uXp2ZRb8pAlMilNZRqr5XkSlrbaSWIJIJAO1FQIKymgnrXcW6Jhxbm2jrhpei8kcpQwWbo4W83OOd2YwwHE0-78wnsB1nqT9k</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Ghani, R. A.</creator><creator>Hashim, A. M.</creator><creator>Othman, M. F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201209</creationdate><title>An approach for fast power restoration plan in a distribution system using ANFIS</title><author>Ghani, R. A. ; Hashim, A. M. ; Othman, M. F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ba229f976476bbd975161510c29f0705b9252fed44b1f0c089be5f65dfa67a253</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>ANFIS</topic><topic>breaker and line isolator switches</topic><topic>practical distribution system</topic><toplevel>online_resources</toplevel><creatorcontrib>Ghani, R. A.</creatorcontrib><creatorcontrib>Hashim, A. M.</creatorcontrib><creatorcontrib>Othman, M. F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ghani, R. A.</au><au>Hashim, A. M.</au><au>Othman, M. F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An approach for fast power restoration plan in a distribution system using ANFIS</atitle><btitle>2012 IEEE Symposium on Industrial Electronics and Applications</btitle><stitle>ISIEA</stitle><date>2012-09</date><risdate>2012</risdate><spage>156</spage><epage>160</epage><pages>156-160</pages><isbn>1467330043</isbn><isbn>9781467330046</isbn><eisbn>9781467330053</eisbn><eisbn>1467330051</eisbn><abstract>Power utilities always look for alternative ways to improve their system capabilities and reduce customer average interruption duration index. One method to achieve this requirement is to prepare fast power restoration plan according to known fault points in terms of geometrical coordinates. This paper presents an intelligent technique for fast and accurate restoration plan using XY coordinates fault points. The proposed technique is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for representing each breaker and line isolator switches in the power network. First, fault point data are obtained from a developed fault location system. Then, it is used to provide information about the operating status of the switches. This technique produces satisfactory result with maximum absolute error of 0.024 for all used switches. The result was validated by analyzing the operation of the breakers and line isolators in a practical distribution system of 47 buses.</abstract><pub>IEEE</pub><doi>10.1109/ISIEA.2012.6496619</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1467330043
ispartof 2012 IEEE Symposium on Industrial Electronics and Applications, 2012, p.156-160
issn
language eng
recordid cdi_ieee_primary_6496619
source IEEE Electronic Library (IEL) Conference Proceedings
subjects ANFIS
breaker and line isolator switches
practical distribution system
title An approach for fast power restoration plan in a distribution system using ANFIS
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T18%3A35%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=An%20approach%20for%20fast%20power%20restoration%20plan%20in%20a%20distribution%20system%20using%20ANFIS&rft.btitle=2012%20IEEE%20Symposium%20on%20Industrial%20Electronics%20and%20Applications&rft.au=Ghani,%20R.%20A.&rft.date=2012-09&rft.spage=156&rft.epage=160&rft.pages=156-160&rft.isbn=1467330043&rft.isbn_list=9781467330046&rft_id=info:doi/10.1109/ISIEA.2012.6496619&rft.eisbn=9781467330053&rft.eisbn_list=1467330051&rft_dat=%3Cieee_6IE%3E6496619%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-ba229f976476bbd975161510c29f0705b9252fed44b1f0c089be5f65dfa67a253%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6496619&rfr_iscdi=true