Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems
This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-5 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | IEEE transactions on instrumentation and measurement |
| container_volume | 70 |
| creator | Son, Kyou Jung An, Gi Sung Kim, Yoon Hyun Chang, Tae-Gyu |
| description | This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-MVDR algorithm is caused by the omitted terms in computing the augmented covariance matrix which is suggested to compensate the unbalance effect. In this article, a new frequency estimator is analytically derived considering the effect of the omitted terms by replacing a fixed nominal frequency parameter with a variable frequency parameter in obtaining the augmented covariance matrix. The performance of the derived equation is also verified through computer simulations. |
| doi_str_mv | 10.1109/TIM.2021.3079565 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9429187</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9429187</ieee_id><sourcerecordid>2530111647</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-bece9092275ff5a8f0804ca5156209e6d00ab161858a88be8b4825ece332fd83</originalsourceid><addsrcrecordid>eNo9kNFPwjAQxhujiYi-m_iy4PPw2q1b-4gISgLRCPradNsNR9iGbafhv7cE4tNdLr_v7r6PkFsKQ0pBPqxmiyEDRocRpJIn_Iz0KOdpKJOEnZMeABWhjHlySa6s3QBAmsRpjxSzemfaHyyCwahb19g43y4-n96D5Q5zZ7o6fNTWz6YGvzts8n0wsa6qtavaJhht162p3Fc9CMrWBB9Npre6yT3-1v6iCZZ767C21-Si1FuLN6faJ6vpZDV-Ceevz7PxaB7mTFIXZpijBMlYysuSa1GCgDjXnPKEgcSkANAZTajgQguRochiwbgXRRErCxH1yf1xrXfkf7VObdrONP6iYjwCSqm37Ck4UrlprTVYqp3xfsxeUVCHKJWPUh2iVKcoveTuKKkQ8R-Xsf9apNEfTjpvbw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2530111647</pqid></control><display><type>article</type><title>Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems</title><source>IEEE Xplore (Online service)</source><creator>Son, Kyou Jung ; An, Gi Sung ; Kim, Yoon Hyun ; Chang, Tae-Gyu</creator><creatorcontrib>Son, Kyou Jung ; An, Gi Sung ; Kim, Yoon Hyun ; Chang, Tae-Gyu</creatorcontrib><description>This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-MVDR algorithm is caused by the omitted terms in computing the augmented covariance matrix which is suggested to compensate the unbalance effect. In this article, a new frequency estimator is analytically derived considering the effect of the omitted terms by replacing a fixed nominal frequency parameter with a variable frequency parameter in obtaining the augmented covariance matrix. The performance of the derived equation is also verified through computer simulations.</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2021.3079565</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Covariance matrices ; Covariance matrix ; Estimation ; Frequency analysis ; Frequency estimation ; Iterative algorithms ; Iterative methods ; Mathematical analysis ; Mathematical model ; minimum variance distortionless response (MVDR) ; off-nominal frequency ; Parameters ; Performance degradation ; Power systems ; Signal resolution ; Unbalance ; unbalanced three-phase power system</subject><ispartof>IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-5</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-bece9092275ff5a8f0804ca5156209e6d00ab161858a88be8b4825ece332fd83</citedby><cites>FETCH-LOGICAL-c291t-bece9092275ff5a8f0804ca5156209e6d00ab161858a88be8b4825ece332fd83</cites><orcidid>0000-0002-1254-7682 ; 0000-0001-5711-6053 ; 0000-0002-1456-6086</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9429187$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,4025,27925,27926,27927,54760</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9429187$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Son, Kyou Jung</creatorcontrib><creatorcontrib>An, Gi Sung</creatorcontrib><creatorcontrib>Kim, Yoon Hyun</creatorcontrib><creatorcontrib>Chang, Tae-Gyu</creatorcontrib><title>Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-MVDR algorithm is caused by the omitted terms in computing the augmented covariance matrix which is suggested to compensate the unbalance effect. In this article, a new frequency estimator is analytically derived considering the effect of the omitted terms by replacing a fixed nominal frequency parameter with a variable frequency parameter in obtaining the augmented covariance matrix. The performance of the derived equation is also verified through computer simulations.</description><subject>Algorithms</subject><subject>Covariance matrices</subject><subject>Covariance matrix</subject><subject>Estimation</subject><subject>Frequency analysis</subject><subject>Frequency estimation</subject><subject>Iterative algorithms</subject><subject>Iterative methods</subject><subject>Mathematical analysis</subject><subject>Mathematical model</subject><subject>minimum variance distortionless response (MVDR)</subject><subject>off-nominal frequency</subject><subject>Parameters</subject><subject>Performance degradation</subject><subject>Power systems</subject><subject>Signal resolution</subject><subject>Unbalance</subject><subject>unbalanced three-phase power system</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kNFPwjAQxhujiYi-m_iy4PPw2q1b-4gISgLRCPradNsNR9iGbafhv7cE4tNdLr_v7r6PkFsKQ0pBPqxmiyEDRocRpJIn_Iz0KOdpKJOEnZMeABWhjHlySa6s3QBAmsRpjxSzemfaHyyCwahb19g43y4-n96D5Q5zZ7o6fNTWz6YGvzts8n0wsa6qtavaJhht162p3Fc9CMrWBB9Npre6yT3-1v6iCZZ767C21-Si1FuLN6faJ6vpZDV-Ceevz7PxaB7mTFIXZpijBMlYysuSa1GCgDjXnPKEgcSkANAZTajgQguRochiwbgXRRErCxH1yf1xrXfkf7VObdrONP6iYjwCSqm37Ck4UrlprTVYqp3xfsxeUVCHKJWPUh2iVKcoveTuKKkQ8R-Xsf9apNEfTjpvbw</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Son, Kyou Jung</creator><creator>An, Gi Sung</creator><creator>Kim, Yoon Hyun</creator><creator>Chang, Tae-Gyu</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>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1254-7682</orcidid><orcidid>https://orcid.org/0000-0001-5711-6053</orcidid><orcidid>https://orcid.org/0000-0002-1456-6086</orcidid></search><sort><creationdate>2021</creationdate><title>Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems</title><author>Son, Kyou Jung ; An, Gi Sung ; Kim, Yoon Hyun ; Chang, Tae-Gyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-bece9092275ff5a8f0804ca5156209e6d00ab161858a88be8b4825ece332fd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Covariance matrices</topic><topic>Covariance matrix</topic><topic>Estimation</topic><topic>Frequency analysis</topic><topic>Frequency estimation</topic><topic>Iterative algorithms</topic><topic>Iterative methods</topic><topic>Mathematical analysis</topic><topic>Mathematical model</topic><topic>minimum variance distortionless response (MVDR)</topic><topic>off-nominal frequency</topic><topic>Parameters</topic><topic>Performance degradation</topic><topic>Power systems</topic><topic>Signal resolution</topic><topic>Unbalance</topic><topic>unbalanced three-phase power system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Son, Kyou Jung</creatorcontrib><creatorcontrib>An, Gi Sung</creatorcontrib><creatorcontrib>Kim, Yoon Hyun</creatorcontrib><creatorcontrib>Chang, Tae-Gyu</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore (Online service)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Son, Kyou Jung</au><au>An, Gi Sung</au><au>Kim, Yoon Hyun</au><au>Chang, Tae-Gyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>2021</date><risdate>2021</risdate><volume>70</volume><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>This article proposes mymargin an improved augmented iterative minimum variance distortionless response (AI-MVDR) frequency estimation algorithm which resolves a significant performance degradation of the AI-MVDR algorithm at off-nominal frequency of unbalanced power signals. This problem of the AI-MVDR algorithm is caused by the omitted terms in computing the augmented covariance matrix which is suggested to compensate the unbalance effect. In this article, a new frequency estimator is analytically derived considering the effect of the omitted terms by replacing a fixed nominal frequency parameter with a variable frequency parameter in obtaining the augmented covariance matrix. The performance of the derived equation is also verified through computer simulations.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIM.2021.3079565</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-1254-7682</orcidid><orcidid>https://orcid.org/0000-0001-5711-6053</orcidid><orcidid>https://orcid.org/0000-0002-1456-6086</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9456 |
| ispartof | IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-5 |
| issn | 0018-9456 1557-9662 |
| language | eng |
| recordid | cdi_ieee_primary_9429187 |
| source | IEEE Xplore (Online service) |
| subjects | Algorithms Covariance matrices Covariance matrix Estimation Frequency analysis Frequency estimation Iterative algorithms Iterative methods Mathematical analysis Mathematical model minimum variance distortionless response (MVDR) off-nominal frequency Parameters Performance degradation Power systems Signal resolution Unbalance unbalanced three-phase power system |
| title | Improved "Augmented MVDR Spectrum-Based Frequency Estimation Algorithm" for Unbalanced Power Systems |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T18%3A33%3A10IST&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=Improved%20%22Augmented%20MVDR%20Spectrum-Based%20Frequency%20Estimation%20Algorithm%22%20for%20Unbalanced%20Power%20Systems&rft.jtitle=IEEE%20transactions%20on%20instrumentation%20and%20measurement&rft.au=Son,%20Kyou%20Jung&rft.date=2021&rft.volume=70&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=0018-9456&rft.eissn=1557-9662&rft.coden=IEIMAO&rft_id=info:doi/10.1109/TIM.2021.3079565&rft_dat=%3Cproquest_RIE%3E2530111647%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=2530111647&rft_id=info:pmid/&rft_ieee_id=9429187&rfr_iscdi=true |