Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System
A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concentrates on estimating the values of the effective inertia of ea...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2020, Vol.8, p.118799-118807 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 118807 |
|---|---|
| container_issue | |
| container_start_page | 118799 |
| container_title | IEEE access |
| container_volume | 8 |
| creator | Yang, Deyou Wang, Bo Ma, Jin Chen, Zhe Cai, Guowei Sun, Zhenglong Wang, Lixin |
| description | A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concentrates on estimating the values of the effective inertia of each area rather than the equivalent inertia of the entire system. Based on an equivalent two-machine system (ETmS) obtained by combining small signal stability analysis (SSSA) with the structure of the power grid, we derive a mathematical relationship between the effective inertia of each area and the interarea oscillation modes. Furthermore, the interarea oscillation modes can be extracted from ambient data, and the developed scheme enables an online estimation of the inertia only by using the outputs measured by PMUs. The performance of the proposed methodology is tested via numerical simulation cases and real data. |
| doi_str_mv | 10.1109/ACCESS.2020.3004335 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_9123366</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9123366</ieee_id><doaj_id>oai_doaj_org_article_2b038df8e7ab4758aa22bb03b16bb811</doaj_id><sourcerecordid>2454639799</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-40f5ea7a47e617ee5989b90f680b7536c6810bf83429eb7b5049afe168d2333c3</originalsourceid><addsrcrecordid>eNpNUU1vEzEUXCGQqEp_QS-WOG_w98cxpAEiFYEUOFvP3rfUUbJOvS6o_x6XrSp8sT16M29G03XXjK4Yo-7DerPZ7vcrTjldCUqlEOpVd8GZdr1QQr_-7_22u5rnA23HNkiZi-5-fQoJp9rfQIX-pqTfOJGveYBjvxsansYUoaY89R9hxoGsz-eSId6Rmsl2rukEFUm9Q7KbsNQEJI8EpvarWGKeJoy1sb7nP1jI_nGueHrXvRnhOOPV833Z_fy0_bH50t9--7zbrG_7KJWtvaSjQjAgDWpmEJWzLjg6akuDaVGitoyG0QrJHQYTFJUORmTaDlwIEcVlt1t0hwwHfy7Nann0GZL_B-Tyy0NzHI_oeaDCDqNFA0EaZQE4Dw0LTIdgGWta7xetFv7-AefqD_mhTM2-51JJLZxxrk2JZSqWPM8Fx5etjPqnqvxSlX-qyj9X1VjXCysh4gvDsZZCa_EX_ZiPJQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454639799</pqid></control><display><type>article</type><title>Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Yang, Deyou ; Wang, Bo ; Ma, Jin ; Chen, Zhe ; Cai, Guowei ; Sun, Zhenglong ; Wang, Lixin</creator><creatorcontrib>Yang, Deyou ; Wang, Bo ; Ma, Jin ; Chen, Zhe ; Cai, Guowei ; Sun, Zhenglong ; Wang, Lixin</creatorcontrib><description>A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concentrates on estimating the values of the effective inertia of each area rather than the equivalent inertia of the entire system. Based on an equivalent two-machine system (ETmS) obtained by combining small signal stability analysis (SSSA) with the structure of the power grid, we derive a mathematical relationship between the effective inertia of each area and the interarea oscillation modes. Furthermore, the interarea oscillation modes can be extracted from ambient data, and the developed scheme enables an online estimation of the inertia only by using the outputs measured by PMUs. The performance of the proposed methodology is tested via numerical simulation cases and real data.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3004335</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>ambient data ; Damping ; Equivalence ; Estimation ; Frequency estimation ; Inertia ; Inertia constant ; interconnected power system ; Mathematical model ; modal identification ; Oscillation modes ; Oscillators ; Phasor measurement units ; Power system stability ; Shape ; small signal stability analysis ; Stability analysis</subject><ispartof>IEEE access, 2020, Vol.8, p.118799-118807</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-40f5ea7a47e617ee5989b90f680b7536c6810bf83429eb7b5049afe168d2333c3</citedby><cites>FETCH-LOGICAL-c458t-40f5ea7a47e617ee5989b90f680b7536c6810bf83429eb7b5049afe168d2333c3</cites><orcidid>0000-0002-6230-6473 ; 0000-0002-8014-4885</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9123366$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Yang, Deyou</creatorcontrib><creatorcontrib>Wang, Bo</creatorcontrib><creatorcontrib>Ma, Jin</creatorcontrib><creatorcontrib>Chen, Zhe</creatorcontrib><creatorcontrib>Cai, Guowei</creatorcontrib><creatorcontrib>Sun, Zhenglong</creatorcontrib><creatorcontrib>Wang, Lixin</creatorcontrib><title>Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System</title><title>IEEE access</title><addtitle>Access</addtitle><description>A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concentrates on estimating the values of the effective inertia of each area rather than the equivalent inertia of the entire system. Based on an equivalent two-machine system (ETmS) obtained by combining small signal stability analysis (SSSA) with the structure of the power grid, we derive a mathematical relationship between the effective inertia of each area and the interarea oscillation modes. Furthermore, the interarea oscillation modes can be extracted from ambient data, and the developed scheme enables an online estimation of the inertia only by using the outputs measured by PMUs. The performance of the proposed methodology is tested via numerical simulation cases and real data.</description><subject>ambient data</subject><subject>Damping</subject><subject>Equivalence</subject><subject>Estimation</subject><subject>Frequency estimation</subject><subject>Inertia</subject><subject>Inertia constant</subject><subject>interconnected power system</subject><subject>Mathematical model</subject><subject>modal identification</subject><subject>Oscillation modes</subject><subject>Oscillators</subject><subject>Phasor measurement units</subject><subject>Power system stability</subject><subject>Shape</subject><subject>small signal stability analysis</subject><subject>Stability analysis</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1vEzEUXCGQqEp_QS-WOG_w98cxpAEiFYEUOFvP3rfUUbJOvS6o_x6XrSp8sT16M29G03XXjK4Yo-7DerPZ7vcrTjldCUqlEOpVd8GZdr1QQr_-7_22u5rnA23HNkiZi-5-fQoJp9rfQIX-pqTfOJGveYBjvxsansYUoaY89R9hxoGsz-eSId6Rmsl2rukEFUm9Q7KbsNQEJI8EpvarWGKeJoy1sb7nP1jI_nGueHrXvRnhOOPV833Z_fy0_bH50t9--7zbrG_7KJWtvaSjQjAgDWpmEJWzLjg6akuDaVGitoyG0QrJHQYTFJUORmTaDlwIEcVlt1t0hwwHfy7Nann0GZL_B-Tyy0NzHI_oeaDCDqNFA0EaZQE4Dw0LTIdgGWta7xetFv7-AefqD_mhTM2-51JJLZxxrk2JZSqWPM8Fx5etjPqnqvxSlX-qyj9X1VjXCysh4gvDsZZCa_EX_ZiPJQ</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Yang, Deyou</creator><creator>Wang, Bo</creator><creator>Ma, Jin</creator><creator>Chen, Zhe</creator><creator>Cai, Guowei</creator><creator>Sun, Zhenglong</creator><creator>Wang, Lixin</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>DOA</scope><orcidid>https://orcid.org/0000-0002-6230-6473</orcidid><orcidid>https://orcid.org/0000-0002-8014-4885</orcidid></search><sort><creationdate>2020</creationdate><title>Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System</title><author>Yang, Deyou ; Wang, Bo ; Ma, Jin ; Chen, Zhe ; Cai, Guowei ; Sun, Zhenglong ; Wang, Lixin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-40f5ea7a47e617ee5989b90f680b7536c6810bf83429eb7b5049afe168d2333c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ambient data</topic><topic>Damping</topic><topic>Equivalence</topic><topic>Estimation</topic><topic>Frequency estimation</topic><topic>Inertia</topic><topic>Inertia constant</topic><topic>interconnected power system</topic><topic>Mathematical model</topic><topic>modal identification</topic><topic>Oscillation modes</topic><topic>Oscillators</topic><topic>Phasor measurement units</topic><topic>Power system stability</topic><topic>Shape</topic><topic>small signal stability analysis</topic><topic>Stability analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Deyou</creatorcontrib><creatorcontrib>Wang, Bo</creatorcontrib><creatorcontrib>Ma, Jin</creatorcontrib><creatorcontrib>Chen, Zhe</creatorcontrib><creatorcontrib>Cai, Guowei</creatorcontrib><creatorcontrib>Sun, Zhenglong</creatorcontrib><creatorcontrib>Wang, Lixin</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>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Deyou</au><au>Wang, Bo</au><au>Ma, Jin</au><au>Chen, Zhe</au><au>Cai, Guowei</au><au>Sun, Zhenglong</au><au>Wang, Lixin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>118799</spage><epage>118807</epage><pages>118799-118807</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>A novel approach for estimating the inertia of an interconnected power system is presented using the identification of interarea oscillation modes (frequency, damping and mode shape) extracted from ambient data. The proposed method concentrates on estimating the values of the effective inertia of each area rather than the equivalent inertia of the entire system. Based on an equivalent two-machine system (ETmS) obtained by combining small signal stability analysis (SSSA) with the structure of the power grid, we derive a mathematical relationship between the effective inertia of each area and the interarea oscillation modes. Furthermore, the interarea oscillation modes can be extracted from ambient data, and the developed scheme enables an online estimation of the inertia only by using the outputs measured by PMUs. The performance of the proposed methodology is tested via numerical simulation cases and real data.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3004335</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6230-6473</orcidid><orcidid>https://orcid.org/0000-0002-8014-4885</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2020, Vol.8, p.118799-118807 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_ieee_primary_9123366 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | ambient data Damping Equivalence Estimation Frequency estimation Inertia Inertia constant interconnected power system Mathematical model modal identification Oscillation modes Oscillators Phasor measurement units Power system stability Shape small signal stability analysis Stability analysis |
| title | Ambient-Data-Driven Modal-Identification-Based Approach to Estimate the Inertia of an Interconnected Power System |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T17%3A19%3A41IST&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=Ambient-Data-Driven%20Modal-Identification-Based%20Approach%20to%20Estimate%20the%20Inertia%20of%20an%20Interconnected%20Power%20System&rft.jtitle=IEEE%20access&rft.au=Yang,%20Deyou&rft.date=2020&rft.volume=8&rft.spage=118799&rft.epage=118807&rft.pages=118799-118807&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.3004335&rft_dat=%3Cproquest_ieee_%3E2454639799%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=2454639799&rft_id=info:pmid/&rft_ieee_id=9123366&rft_doaj_id=oai_doaj_org_article_2b038df8e7ab4758aa22bb03b16bb811&rfr_iscdi=true |