Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements
This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unsc...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2023, Vol.11, p.78237-78250 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 78250 |
|---|---|
| container_issue | |
| container_start_page | 78237 |
| container_title | IEEE access |
| container_volume | 11 |
| creator | Srivastava, Ankur Singh, Abhinav Kumar Tuan, Le Anh Steen, David Mir, Abdul Saleem |
| description | This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unscented Kalman filter. The advantage of the proposed method is that the remote end state variables of a transmission line can be estimated using only the local end variables and, hence, the need for communication infrastructure is eliminated. Furthermore, an exact nonlinear model of the transmission line is utilized for estimation and the DSE of one transmission line is independent of the other lines. These in turn result in reduced complexity, higher accuracy, and easier implementation of the decentralized estimator. The proposed method is applied to a case study with realistic transmission line parameters. The results from the case study affirm that the proposed method accurately estimates the state variables under different operating conditions. Furthermore, robust performance is achieved with different noise variances and types. The proposed DSE method is envisioned to have potential applications in transmission line monitoring, control, and protection. |
| doi_str_mv | 10.1109/ACCESS.2023.3298206 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_10190589</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10190589</ieee_id><doaj_id>oai_doaj_org_article_fcb1ee71e8c6439d95a0362b85bb893b</doaj_id><sourcerecordid>2844897272</sourcerecordid><originalsourceid>FETCH-LOGICAL-c485t-9e42f09286afb92ea4205c71cb6f8e8e7e33330d93d3e1446755a56fd42d2763</originalsourceid><addsrcrecordid>eNpVkU1PGzEQhleoSEWUX0APK3FO6u-PIwppi5Sqh4Sz5Y9ZcLS7Tu2NKvj1dViE6FzGHs37eMZv01xjtMQY6W-3q9V6u10SROiSEq0IEmfNBcFCLyin4tOH8-fmqpQ9qqFqicuL5uEOPIxTtn18gdDePY92iL7dTnaCdl2mONgpprFNXbvLdixDLOV038QRSvtQ4vjYbpK3ffsLbDlmGCqtfGnOO9sXuHrLl83u-3q3-rnY_P5xv7rdLDxTfFpoYKRDmihhO6cJWEYQ9xJ7JzoFCiTQGihoGihgxoTk3HLRBUYCkYJeNvczNiS7N4dch83PJtloXgspPxqbp-h7MJ13GEBiUF4wqoPmFlFBnOLOKU1dZW1nVvkLh6P7j5ahgM3-yfgn2w-QiylgGA4MvHWGOolNXUQbhQMxAFwBJ9Jrpir1ZqYecvpzhDKZfTrmsf6JIYoxpSWRpHbRucvnVEqG7v11jMzJYzN7bE4emzePq-rrrIoA8EGBNeJ1pX98vaK8</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2844897272</pqid></control><display><type>article</type><title>Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>SWEPUB Freely available online</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Srivastava, Ankur ; Singh, Abhinav Kumar ; Tuan, Le Anh ; Steen, David ; Mir, Abdul Saleem</creator><creatorcontrib>Srivastava, Ankur ; Singh, Abhinav Kumar ; Tuan, Le Anh ; Steen, David ; Mir, Abdul Saleem</creatorcontrib><description>This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unscented Kalman filter. The advantage of the proposed method is that the remote end state variables of a transmission line can be estimated using only the local end variables and, hence, the need for communication infrastructure is eliminated. Furthermore, an exact nonlinear model of the transmission line is utilized for estimation and the DSE of one transmission line is independent of the other lines. These in turn result in reduced complexity, higher accuracy, and easier implementation of the decentralized estimator. The proposed method is applied to a case study with realistic transmission line parameters. The results from the case study affirm that the proposed method accurately estimates the state variables under different operating conditions. Furthermore, robust performance is achieved with different noise variances and types. The proposed DSE method is envisioned to have potential applications in transmission line monitoring, control, and protection.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2023.3298206</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Case studies ; Dynamic state estimation ; Kalman filter ; Kalman filters ; Mathematical models ; Power system dynamics ; power system monitoring ; Power transmission lines ; State estimation ; State variable ; transmission line ; Transmission line measurements ; Transmission lines ; unscented transformation ; Voltage measurement</subject><ispartof>IEEE access, 2023, Vol.11, p.78237-78250</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-9e42f09286afb92ea4205c71cb6f8e8e7e33330d93d3e1446755a56fd42d2763</citedby><cites>FETCH-LOGICAL-c485t-9e42f09286afb92ea4205c71cb6f8e8e7e33330d93d3e1446755a56fd42d2763</cites><orcidid>0000-0002-4316-9354 ; 0000-0003-4652-4275 ; 0000-0003-3376-6435 ; 0000-0003-0362-7311</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10190589$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,776,780,860,881,2095,4009,27612,27902,27903,27904,54912</link.rule.ids><backlink>$$Uhttps://research.chalmers.se/publication/536867$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Srivastava, Ankur</creatorcontrib><creatorcontrib>Singh, Abhinav Kumar</creatorcontrib><creatorcontrib>Tuan, Le Anh</creatorcontrib><creatorcontrib>Steen, David</creatorcontrib><creatorcontrib>Mir, Abdul Saleem</creatorcontrib><title>Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unscented Kalman filter. The advantage of the proposed method is that the remote end state variables of a transmission line can be estimated using only the local end variables and, hence, the need for communication infrastructure is eliminated. Furthermore, an exact nonlinear model of the transmission line is utilized for estimation and the DSE of one transmission line is independent of the other lines. These in turn result in reduced complexity, higher accuracy, and easier implementation of the decentralized estimator. The proposed method is applied to a case study with realistic transmission line parameters. The results from the case study affirm that the proposed method accurately estimates the state variables under different operating conditions. Furthermore, robust performance is achieved with different noise variances and types. The proposed DSE method is envisioned to have potential applications in transmission line monitoring, control, and protection.</description><subject>Case studies</subject><subject>Dynamic state estimation</subject><subject>Kalman filter</subject><subject>Kalman filters</subject><subject>Mathematical models</subject><subject>Power system dynamics</subject><subject>power system monitoring</subject><subject>Power transmission lines</subject><subject>State estimation</subject><subject>State variable</subject><subject>transmission line</subject><subject>Transmission line measurements</subject><subject>Transmission lines</subject><subject>unscented transformation</subject><subject>Voltage measurement</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>D8T</sourceid><sourceid>DOA</sourceid><recordid>eNpVkU1PGzEQhleoSEWUX0APK3FO6u-PIwppi5Sqh4Sz5Y9ZcLS7Tu2NKvj1dViE6FzGHs37eMZv01xjtMQY6W-3q9V6u10SROiSEq0IEmfNBcFCLyin4tOH8-fmqpQ9qqFqicuL5uEOPIxTtn18gdDePY92iL7dTnaCdl2mONgpprFNXbvLdixDLOV038QRSvtQ4vjYbpK3ffsLbDlmGCqtfGnOO9sXuHrLl83u-3q3-rnY_P5xv7rdLDxTfFpoYKRDmihhO6cJWEYQ9xJ7JzoFCiTQGihoGihgxoTk3HLRBUYCkYJeNvczNiS7N4dch83PJtloXgspPxqbp-h7MJ13GEBiUF4wqoPmFlFBnOLOKU1dZW1nVvkLh6P7j5ahgM3-yfgn2w-QiylgGA4MvHWGOolNXUQbhQMxAFwBJ9Jrpir1ZqYecvpzhDKZfTrmsf6JIYoxpSWRpHbRucvnVEqG7v11jMzJYzN7bE4emzePq-rrrIoA8EGBNeJ1pX98vaK8</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Srivastava, Ankur</creator><creator>Singh, Abhinav Kumar</creator><creator>Tuan, Le Anh</creator><creator>Steen, David</creator><creator>Mir, Abdul Saleem</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>ABBSD</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>F1S</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4316-9354</orcidid><orcidid>https://orcid.org/0000-0003-4652-4275</orcidid><orcidid>https://orcid.org/0000-0003-3376-6435</orcidid><orcidid>https://orcid.org/0000-0003-0362-7311</orcidid></search><sort><creationdate>2023</creationdate><title>Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements</title><author>Srivastava, Ankur ; Singh, Abhinav Kumar ; Tuan, Le Anh ; Steen, David ; Mir, Abdul Saleem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-9e42f09286afb92ea4205c71cb6f8e8e7e33330d93d3e1446755a56fd42d2763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Case studies</topic><topic>Dynamic state estimation</topic><topic>Kalman filter</topic><topic>Kalman filters</topic><topic>Mathematical models</topic><topic>Power system dynamics</topic><topic>power system monitoring</topic><topic>Power transmission lines</topic><topic>State estimation</topic><topic>State variable</topic><topic>transmission line</topic><topic>Transmission line measurements</topic><topic>Transmission lines</topic><topic>unscented transformation</topic><topic>Voltage measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Srivastava, Ankur</creatorcontrib><creatorcontrib>Singh, Abhinav Kumar</creatorcontrib><creatorcontrib>Tuan, Le Anh</creatorcontrib><creatorcontrib>Steen, David</creatorcontrib><creatorcontrib>Mir, Abdul Saleem</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials 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>SWEPUB Chalmers tekniska högskola full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Chalmers tekniska högskola</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Srivastava, Ankur</au><au>Singh, Abhinav Kumar</au><au>Tuan, Le Anh</au><au>Steen, David</au><au>Mir, Abdul Saleem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2023</date><risdate>2023</risdate><volume>11</volume><spage>78237</spage><epage>78250</epage><pages>78237-78250</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>This paper presents a novel decentralized dynamic state estimation (DSE) method for estimating the dynamic states of a transmission line in real-time. The proposed method utilizes the sampled measurements from the local end of a transmission line, and thereafter DSE is performed by employing an unscented Kalman filter. The advantage of the proposed method is that the remote end state variables of a transmission line can be estimated using only the local end variables and, hence, the need for communication infrastructure is eliminated. Furthermore, an exact nonlinear model of the transmission line is utilized for estimation and the DSE of one transmission line is independent of the other lines. These in turn result in reduced complexity, higher accuracy, and easier implementation of the decentralized estimator. The proposed method is applied to a case study with realistic transmission line parameters. The results from the case study affirm that the proposed method accurately estimates the state variables under different operating conditions. Furthermore, robust performance is achieved with different noise variances and types. The proposed DSE method is envisioned to have potential applications in transmission line monitoring, control, and protection.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2023.3298206</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4316-9354</orcidid><orcidid>https://orcid.org/0000-0003-4652-4275</orcidid><orcidid>https://orcid.org/0000-0003-3376-6435</orcidid><orcidid>https://orcid.org/0000-0003-0362-7311</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2023, Vol.11, p.78237-78250 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_ieee_primary_10190589 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; SWEPUB Freely available online; EZB-FREE-00999 freely available EZB journals |
| subjects | Case studies Dynamic state estimation Kalman filter Kalman filters Mathematical models Power system dynamics power system monitoring Power transmission lines State estimation State variable transmission line Transmission line measurements Transmission lines unscented transformation Voltage measurement |
| title | Decentralized Dynamic State Estimation of Transmission Lines Using Local Measurements |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T21%3A12%3A20IST&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=Decentralized%20Dynamic%20State%20Estimation%20of%20Transmission%20Lines%20Using%20Local%20Measurements&rft.jtitle=IEEE%20access&rft.au=Srivastava,%20Ankur&rft.date=2023&rft.volume=11&rft.spage=78237&rft.epage=78250&rft.pages=78237-78250&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2023.3298206&rft_dat=%3Cproquest_ieee_%3E2844897272%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2844897272&rft_id=info:pmid/&rft_ieee_id=10190589&rft_doaj_id=oai_doaj_org_article_fcb1ee71e8c6439d95a0362b85bb893b&rfr_iscdi=true |