Loading…

State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data

At present, the redundancy of real-time measurement in distribution network is low and the mixed measurement is incompatible, Hybrid measurement combined with multi-source asynchronous data such as SCADASCADA/ smart distribution transformer information acquisition system (SDTIAS), anew state estimat...

Full description

Saved in:
Bibliographic Details
Published in:Energy reports 2022-07, Vol.8, p.1778-1783
Main Authors: Wu, Zhenjie, Ye, Lin, Liao, Pei, Li, Chengda, Zhou, Zhengyang, Li, Suirong, Sun, JianFeng
Format: Article
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-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03
cites cdi_FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03
container_end_page 1783
container_issue
container_start_page 1778
container_title Energy reports
container_volume 8
creator Wu, Zhenjie
Ye, Lin
Liao, Pei
Li, Chengda
Zhou, Zhengyang
Li, Suirong
Sun, JianFeng
description At present, the redundancy of real-time measurement in distribution network is low and the mixed measurement is incompatible, Hybrid measurement combined with multi-source asynchronous data such as SCADASCADA/ smart distribution transformer information acquisition system (SDTIAS), anew state estimation based on SCADASCADA and SDTIAS is proposed in this paper. Firstly, SDTIAS and SCADA measurements are matched and synchronized; Then, the quadratic multi-source asynchronous measurement model is constructed, the quadratic equality constraint is established, the unified modeling of multi-source asynchronous measurement is realized; Finally, the proposed model and algorithm are simulated and verified in the standard test system, The results show the error seven times lower than traditional methods, and the calculation efficiency (100 Statistics) is increased by 35%, indicating better accuracy and higher efficiency.
doi_str_mv 10.1016/j.egyr.2022.03.195
format article
fullrecord <record><control><sourceid>elsevier_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_8821d4281ec1490da30ebc5b3498dfa7</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2352484722007508</els_id><doaj_id>oai_doaj_org_article_8821d4281ec1490da30ebc5b3498dfa7</doaj_id><sourcerecordid>S2352484722007508</sourcerecordid><originalsourceid>FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03</originalsourceid><addsrcrecordid>eNp9kd1qGzEQhZfQQoKTF-iVXmC3o5_9EfSmhDY1GHKR9lpopVEs17tqJW2N3z6yXUKucjUzZzgfM5yq-kShoUC7z7sGn4-xYcBYA7yhsr2qbhhvWS0G0X94019XdyntAIBKBqLjN9Xfp6wzEkzZTzr7MJPgiPUpRz8u53nGfAjxNxl1QkuKsD2O0VsyoU5LxAnnTEyYRj-X9cHnLZmWffZ1Cks0SHQ6zmYbwxyWRKzO-rb66PQ-4d3_uqp-ff_28_5HvXl8WN9_3dRGUMg1cil6aXsr3GBbKovadtIhBQcd48hHwZ10zgAVaJ0wrbZDJ5noAWXvgK-q9YVrg96pP7H8F48qaK_OQojPSsfszR7VMDBqBRsoGiokWM0BR9OOXMjBOt0XFruwTAwpRXSvPArqlIHaqVMG6pSBAq5KBsX05WLC8uU_j1El43E2aH1Ek8sZ_j37C9sDkpo</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data</title><source>ScienceDirect®</source><creator>Wu, Zhenjie ; Ye, Lin ; Liao, Pei ; Li, Chengda ; Zhou, Zhengyang ; Li, Suirong ; Sun, JianFeng</creator><creatorcontrib>Wu, Zhenjie ; Ye, Lin ; Liao, Pei ; Li, Chengda ; Zhou, Zhengyang ; Li, Suirong ; Sun, JianFeng</creatorcontrib><description>At present, the redundancy of real-time measurement in distribution network is low and the mixed measurement is incompatible, Hybrid measurement combined with multi-source asynchronous data such as SCADASCADA/ smart distribution transformer information acquisition system (SDTIAS), anew state estimation based on SCADASCADA and SDTIAS is proposed in this paper. Firstly, SDTIAS and SCADA measurements are matched and synchronized; Then, the quadratic multi-source asynchronous measurement model is constructed, the quadratic equality constraint is established, the unified modeling of multi-source asynchronous measurement is realized; Finally, the proposed model and algorithm are simulated and verified in the standard test system, The results show the error seven times lower than traditional methods, and the calculation efficiency (100 Statistics) is increased by 35%, indicating better accuracy and higher efficiency.</description><identifier>ISSN: 2352-4847</identifier><identifier>EISSN: 2352-4847</identifier><identifier>DOI: 10.1016/j.egyr.2022.03.195</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Multi source asynchronous data fusion ; Quadratic constrained quadratic estimation ; SDTIAS/ SCADA hybrid measurement</subject><ispartof>Energy reports, 2022-07, Vol.8, p.1778-1783</ispartof><rights>2022 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03</citedby><cites>FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352484722007508$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3549,27924,27925,45780</link.rule.ids></links><search><creatorcontrib>Wu, Zhenjie</creatorcontrib><creatorcontrib>Ye, Lin</creatorcontrib><creatorcontrib>Liao, Pei</creatorcontrib><creatorcontrib>Li, Chengda</creatorcontrib><creatorcontrib>Zhou, Zhengyang</creatorcontrib><creatorcontrib>Li, Suirong</creatorcontrib><creatorcontrib>Sun, JianFeng</creatorcontrib><title>State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data</title><title>Energy reports</title><description>At present, the redundancy of real-time measurement in distribution network is low and the mixed measurement is incompatible, Hybrid measurement combined with multi-source asynchronous data such as SCADASCADA/ smart distribution transformer information acquisition system (SDTIAS), anew state estimation based on SCADASCADA and SDTIAS is proposed in this paper. Firstly, SDTIAS and SCADA measurements are matched and synchronized; Then, the quadratic multi-source asynchronous measurement model is constructed, the quadratic equality constraint is established, the unified modeling of multi-source asynchronous measurement is realized; Finally, the proposed model and algorithm are simulated and verified in the standard test system, The results show the error seven times lower than traditional methods, and the calculation efficiency (100 Statistics) is increased by 35%, indicating better accuracy and higher efficiency.</description><subject>Multi source asynchronous data fusion</subject><subject>Quadratic constrained quadratic estimation</subject><subject>SDTIAS/ SCADA hybrid measurement</subject><issn>2352-4847</issn><issn>2352-4847</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kd1qGzEQhZfQQoKTF-iVXmC3o5_9EfSmhDY1GHKR9lpopVEs17tqJW2N3z6yXUKucjUzZzgfM5yq-kShoUC7z7sGn4-xYcBYA7yhsr2qbhhvWS0G0X94019XdyntAIBKBqLjN9Xfp6wzEkzZTzr7MJPgiPUpRz8u53nGfAjxNxl1QkuKsD2O0VsyoU5LxAnnTEyYRj-X9cHnLZmWffZ1Cks0SHQ6zmYbwxyWRKzO-rb66PQ-4d3_uqp-ff_28_5HvXl8WN9_3dRGUMg1cil6aXsr3GBbKovadtIhBQcd48hHwZ10zgAVaJ0wrbZDJ5noAWXvgK-q9YVrg96pP7H8F48qaK_OQojPSsfszR7VMDBqBRsoGiokWM0BR9OOXMjBOt0XFruwTAwpRXSvPArqlIHaqVMG6pSBAq5KBsX05WLC8uU_j1El43E2aH1Ek8sZ_j37C9sDkpo</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Wu, Zhenjie</creator><creator>Ye, Lin</creator><creator>Liao, Pei</creator><creator>Li, Chengda</creator><creator>Zhou, Zhengyang</creator><creator>Li, Suirong</creator><creator>Sun, JianFeng</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>202207</creationdate><title>State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data</title><author>Wu, Zhenjie ; Ye, Lin ; Liao, Pei ; Li, Chengda ; Zhou, Zhengyang ; Li, Suirong ; Sun, JianFeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Multi source asynchronous data fusion</topic><topic>Quadratic constrained quadratic estimation</topic><topic>SDTIAS/ SCADA hybrid measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zhenjie</creatorcontrib><creatorcontrib>Ye, Lin</creatorcontrib><creatorcontrib>Liao, Pei</creatorcontrib><creatorcontrib>Li, Chengda</creatorcontrib><creatorcontrib>Zhou, Zhengyang</creatorcontrib><creatorcontrib>Li, Suirong</creatorcontrib><creatorcontrib>Sun, JianFeng</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Directory of Open Access Journals at publisher websites</collection><jtitle>Energy reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Zhenjie</au><au>Ye, Lin</au><au>Liao, Pei</au><au>Li, Chengda</au><au>Zhou, Zhengyang</au><au>Li, Suirong</au><au>Sun, JianFeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data</atitle><jtitle>Energy reports</jtitle><date>2022-07</date><risdate>2022</risdate><volume>8</volume><spage>1778</spage><epage>1783</epage><pages>1778-1783</pages><issn>2352-4847</issn><eissn>2352-4847</eissn><abstract>At present, the redundancy of real-time measurement in distribution network is low and the mixed measurement is incompatible, Hybrid measurement combined with multi-source asynchronous data such as SCADASCADA/ smart distribution transformer information acquisition system (SDTIAS), anew state estimation based on SCADASCADA and SDTIAS is proposed in this paper. Firstly, SDTIAS and SCADA measurements are matched and synchronized; Then, the quadratic multi-source asynchronous measurement model is constructed, the quadratic equality constraint is established, the unified modeling of multi-source asynchronous measurement is realized; Finally, the proposed model and algorithm are simulated and verified in the standard test system, The results show the error seven times lower than traditional methods, and the calculation efficiency (100 Statistics) is increased by 35%, indicating better accuracy and higher efficiency.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.egyr.2022.03.195</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2352-4847
ispartof Energy reports, 2022-07, Vol.8, p.1778-1783
issn 2352-4847
2352-4847
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_8821d4281ec1490da30ebc5b3498dfa7
source ScienceDirect®
subjects Multi source asynchronous data fusion
Quadratic constrained quadratic estimation
SDTIAS/ SCADA hybrid measurement
title State estimation of distribution network based on hybrid measurement combined with multi-source asynchronous data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T10%3A48%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=State%20estimation%20of%20distribution%20network%20based%20on%20hybrid%20measurement%20combined%20with%20multi-source%20asynchronous%20data&rft.jtitle=Energy%20reports&rft.au=Wu,%20Zhenjie&rft.date=2022-07&rft.volume=8&rft.spage=1778&rft.epage=1783&rft.pages=1778-1783&rft.issn=2352-4847&rft.eissn=2352-4847&rft_id=info:doi/10.1016/j.egyr.2022.03.195&rft_dat=%3Celsevier_doaj_%3ES2352484722007508%3C/elsevier_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c410t-e39479d7d4f8d519c41569fe10f0623e3b43f9ffc014edf4c5ad8692470e97f03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true