Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations
This paper provides a comprehensive analysis of several hybrid state estimators (HSEs) to assess their performance and identify their unique characteristics in transmission network. The results reveal that the formulation of an HSE can have a significant impact on both the estimation accuracy and th...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on power systems 2019-07, Vol.34 (4), p.2565-2576 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2576 |
---|---|
container_issue | 4 |
container_start_page | 2565 |
container_title | IEEE transactions on power systems |
container_volume | 34 |
creator | Jin, Zhaoyang Wall, Peter Chen, Yushou Yu, James Chakrabarti, Saikat Terzija, Vladimir |
description | This paper provides a comprehensive analysis of several hybrid state estimators (HSEs) to assess their performance and identify their unique characteristics in transmission network. The results reveal that the formulation of an HSE can have a significant impact on both the estimation accuracy and the convergence properties of the estimator, which are the two most important performance factors for an HSE. Furthermore, the analysis performed has identified the formulation that maximizes these factors. The assessment can be divided into three parts. The first part conducts comprehensive simulations for the IEEE 14 bus test system for every possible phasor measurement units (PMU) placement. The second part validates the conclusions made in the first part using simulations of the IEEE 118 bus test system with both random PMU placements and optimally and suboptimally selected placements. The third part further validates these conclusions and directly explains the reasons for the differences in estimation accuracy observed for the different formulations of HSEs through mathematical analysis. |
doi_str_mv | 10.1109/TPWRS.2018.2871192 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2244352145</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8468114</ieee_id><sourcerecordid>2244352145</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-55484cbf416f2c2bad708d0b5247b4b35a1420d37edfb012133b452ddfce3cc23</originalsourceid><addsrcrecordid>eNo9kE1LAzEQhoMoWKt_QC8Bz1sz-djNeiultUJBsZUeQ75WtrSbmmyF_fdurfQ0h3mfl5kHoXsgIwBSPq3e1x_LESUgR1QWACW9QAMQQmYkL8pLNCBSikyWglyjm5Q2hJC8XwzQetzobZfqhEOF552JtcPLVrceT1Nb73QbYnrGY2sPUdsO68bhSWh-fPzyjfVH6JzDsxB3h61u69CkW3RV6W3yd_9ziD5n09Vkni3eXl4n40VmaSnaTAguuTUVh7yilhrtCiIdMYLywnDDhAZOiWOFd5UhQIExwwV1rrKeWUvZED2eevcxfB98atUmHGL_U1KUcs4EBS76FD2lbAwpRV-pfeyPjp0Coo4C1Z9AdRSo_gX20MMJqr33Z0DyXAJw9gvpsG1G</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2244352145</pqid></control><display><type>article</type><title>Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations</title><source>IEEE Electronic Library (IEL)</source><creator>Jin, Zhaoyang ; Wall, Peter ; Chen, Yushou ; Yu, James ; Chakrabarti, Saikat ; Terzija, Vladimir</creator><creatorcontrib>Jin, Zhaoyang ; Wall, Peter ; Chen, Yushou ; Yu, James ; Chakrabarti, Saikat ; Terzija, Vladimir</creatorcontrib><description>This paper provides a comprehensive analysis of several hybrid state estimators (HSEs) to assess their performance and identify their unique characteristics in transmission network. The results reveal that the formulation of an HSE can have a significant impact on both the estimation accuracy and the convergence properties of the estimator, which are the two most important performance factors for an HSE. Furthermore, the analysis performed has identified the formulation that maximizes these factors. The assessment can be divided into three parts. The first part conducts comprehensive simulations for the IEEE 14 bus test system for every possible phasor measurement units (PMU) placement. The second part validates the conclusions made in the first part using simulations of the IEEE 118 bus test system with both random PMU placements and optimally and suboptimally selected placements. The third part further validates these conclusions and directly explains the reasons for the differences in estimation accuracy observed for the different formulations of HSEs through mathematical analysis.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2018.2871192</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accuracy ; Computer simulation ; Convergence ; convergence property ; Current measurement ; Estimation accuracy ; Estimators ; formulation ; Formulations ; hybrid state estimator ; Mathematical analysis ; Measuring instruments ; Phasor measurement units ; PMU placement ; Power measurement ; State estimation ; Test systems ; Voltage measurement</subject><ispartof>IEEE transactions on power systems, 2019-07, Vol.34 (4), p.2565-2576</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-55484cbf416f2c2bad708d0b5247b4b35a1420d37edfb012133b452ddfce3cc23</citedby><cites>FETCH-LOGICAL-c295t-55484cbf416f2c2bad708d0b5247b4b35a1420d37edfb012133b452ddfce3cc23</cites><orcidid>0000-0003-1876-2153 ; 0000-0002-6538-6982 ; 0000-0002-7288-6977</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8468114$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8468114$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jin, Zhaoyang</creatorcontrib><creatorcontrib>Wall, Peter</creatorcontrib><creatorcontrib>Chen, Yushou</creatorcontrib><creatorcontrib>Yu, James</creatorcontrib><creatorcontrib>Chakrabarti, Saikat</creatorcontrib><creatorcontrib>Terzija, Vladimir</creatorcontrib><title>Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>This paper provides a comprehensive analysis of several hybrid state estimators (HSEs) to assess their performance and identify their unique characteristics in transmission network. The results reveal that the formulation of an HSE can have a significant impact on both the estimation accuracy and the convergence properties of the estimator, which are the two most important performance factors for an HSE. Furthermore, the analysis performed has identified the formulation that maximizes these factors. The assessment can be divided into three parts. The first part conducts comprehensive simulations for the IEEE 14 bus test system for every possible phasor measurement units (PMU) placement. The second part validates the conclusions made in the first part using simulations of the IEEE 118 bus test system with both random PMU placements and optimally and suboptimally selected placements. The third part further validates these conclusions and directly explains the reasons for the differences in estimation accuracy observed for the different formulations of HSEs through mathematical analysis.</description><subject>Accuracy</subject><subject>Computer simulation</subject><subject>Convergence</subject><subject>convergence property</subject><subject>Current measurement</subject><subject>Estimation accuracy</subject><subject>Estimators</subject><subject>formulation</subject><subject>Formulations</subject><subject>hybrid state estimator</subject><subject>Mathematical analysis</subject><subject>Measuring instruments</subject><subject>Phasor measurement units</subject><subject>PMU placement</subject><subject>Power measurement</subject><subject>State estimation</subject><subject>Test systems</subject><subject>Voltage measurement</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKt_QC8Bz1sz-djNeiultUJBsZUeQ75WtrSbmmyF_fdurfQ0h3mfl5kHoXsgIwBSPq3e1x_LESUgR1QWACW9QAMQQmYkL8pLNCBSikyWglyjm5Q2hJC8XwzQetzobZfqhEOF552JtcPLVrceT1Nb73QbYnrGY2sPUdsO68bhSWh-fPzyjfVH6JzDsxB3h61u69CkW3RV6W3yd_9ziD5n09Vkni3eXl4n40VmaSnaTAguuTUVh7yilhrtCiIdMYLywnDDhAZOiWOFd5UhQIExwwV1rrKeWUvZED2eevcxfB98atUmHGL_U1KUcs4EBS76FD2lbAwpRV-pfeyPjp0Coo4C1Z9AdRSo_gX20MMJqr33Z0DyXAJw9gvpsG1G</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Jin, Zhaoyang</creator><creator>Wall, Peter</creator><creator>Chen, Yushou</creator><creator>Yu, James</creator><creator>Chakrabarti, Saikat</creator><creator>Terzija, Vladimir</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>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-1876-2153</orcidid><orcidid>https://orcid.org/0000-0002-6538-6982</orcidid><orcidid>https://orcid.org/0000-0002-7288-6977</orcidid></search><sort><creationdate>201907</creationdate><title>Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations</title><author>Jin, Zhaoyang ; Wall, Peter ; Chen, Yushou ; Yu, James ; Chakrabarti, Saikat ; Terzija, Vladimir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-55484cbf416f2c2bad708d0b5247b4b35a1420d37edfb012133b452ddfce3cc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Computer simulation</topic><topic>Convergence</topic><topic>convergence property</topic><topic>Current measurement</topic><topic>Estimation accuracy</topic><topic>Estimators</topic><topic>formulation</topic><topic>Formulations</topic><topic>hybrid state estimator</topic><topic>Mathematical analysis</topic><topic>Measuring instruments</topic><topic>Phasor measurement units</topic><topic>PMU placement</topic><topic>Power measurement</topic><topic>State estimation</topic><topic>Test systems</topic><topic>Voltage measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Zhaoyang</creatorcontrib><creatorcontrib>Wall, Peter</creatorcontrib><creatorcontrib>Chen, Yushou</creatorcontrib><creatorcontrib>Yu, James</creatorcontrib><creatorcontrib>Chakrabarti, Saikat</creatorcontrib><creatorcontrib>Terzija, Vladimir</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jin, Zhaoyang</au><au>Wall, Peter</au><au>Chen, Yushou</au><au>Yu, James</au><au>Chakrabarti, Saikat</au><au>Terzija, Vladimir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2019-07</date><risdate>2019</risdate><volume>34</volume><issue>4</issue><spage>2565</spage><epage>2576</epage><pages>2565-2576</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>This paper provides a comprehensive analysis of several hybrid state estimators (HSEs) to assess their performance and identify their unique characteristics in transmission network. The results reveal that the formulation of an HSE can have a significant impact on both the estimation accuracy and the convergence properties of the estimator, which are the two most important performance factors for an HSE. Furthermore, the analysis performed has identified the formulation that maximizes these factors. The assessment can be divided into three parts. The first part conducts comprehensive simulations for the IEEE 14 bus test system for every possible phasor measurement units (PMU) placement. The second part validates the conclusions made in the first part using simulations of the IEEE 118 bus test system with both random PMU placements and optimally and suboptimally selected placements. The third part further validates these conclusions and directly explains the reasons for the differences in estimation accuracy observed for the different formulations of HSEs through mathematical analysis.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2018.2871192</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-1876-2153</orcidid><orcidid>https://orcid.org/0000-0002-6538-6982</orcidid><orcidid>https://orcid.org/0000-0002-7288-6977</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0885-8950 |
ispartof | IEEE transactions on power systems, 2019-07, Vol.34 (4), p.2565-2576 |
issn | 0885-8950 1558-0679 |
language | eng |
recordid | cdi_proquest_journals_2244352145 |
source | IEEE Electronic Library (IEL) |
subjects | Accuracy Computer simulation Convergence convergence property Current measurement Estimation accuracy Estimators formulation Formulations hybrid state estimator Mathematical analysis Measuring instruments Phasor measurement units PMU placement Power measurement State estimation Test systems Voltage measurement |
title | Analysis of Hybrid State Estimators: Accuracy and Convergence of Estimator Formulations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T15%3A58%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20Hybrid%20State%20Estimators:%20Accuracy%20and%20Convergence%20of%20Estimator%20Formulations&rft.jtitle=IEEE%20transactions%20on%20power%20systems&rft.au=Jin,%20Zhaoyang&rft.date=2019-07&rft.volume=34&rft.issue=4&rft.spage=2565&rft.epage=2576&rft.pages=2565-2576&rft.issn=0885-8950&rft.eissn=1558-0679&rft.coden=ITPSEG&rft_id=info:doi/10.1109/TPWRS.2018.2871192&rft_dat=%3Cproquest_RIE%3E2244352145%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2244352145&rft_id=info:pmid/&rft_ieee_id=8468114&rfr_iscdi=true |