Measurement-based correlation approach for power system dynamic response estimation
Understanding power system dynamics is essential for online stability assessment and control applications. Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall oper...
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| Veröffentlicht in: | IET generation, transmission & distribution transmission & distribution, 2015-09, Vol.9 (12), p.1474-1484 |
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| container_title | IET generation, transmission & distribution |
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| creator | Bai, Feifei Liu, Yong Liu, Yilu Sun, Kai Bhatt, Navin Rosso, Alberto Del Farantatos, Evangelos Wang, Xiaoru |
| description | Understanding power system dynamics is essential for online stability assessment and control applications. Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. Finally, the proposed correlation approach is applied to the real FDR data for power system dynamic response estimation. The results indicate that the correlation approach could help select better input locations and thus improve the response estimation accuracy. |
| doi_str_mv | 10.1049/iet-gtd.2014.1013 |
| format | Article |
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Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. Finally, the proposed correlation approach is applied to the real FDR data for power system dynamic response estimation. The results indicate that the correlation approach could help select better input locations and thus improve the response estimation accuracy.</description><identifier>ISSN: 1751-8687</identifier><identifier>EISSN: 1751-8695</identifier><identifier>DOI: 10.1049/iet-gtd.2014.1013</identifier><language>eng</language><publisher>United Kingdom: The Institution of Engineering and Technology</publisher><subject>Assessments ; autoregressive model ; autoregressive processes ; Correlation ; Correlation analysis ; correlation coefficient index ; correlation methods ; dynamic response ; Estimates ; exogenous input identification model ; Failure ; FDR ; frequency disturbance recorder ; Global Positioning System ; Global Positioning System synchronised phasor measurement unit ; Mathematical models ; measurement‐based correlation approach ; online stability assessment ; phasor measurement ; power system control ; power system dynamic response estimation ; power system dynamic stability ; power system identification ; power system interconnection ; Recorders ; System dynamics ; US Eastern interconnection</subject><ispartof>IET generation, transmission & distribution, 2015-09, Vol.9 (12), p.1474-1484</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2015 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4713-6ab2b55409b77e4b2c7b0f7456d78fefe6afcb31f869291e9f2c6153dd9e39ab3</citedby><cites>FETCH-LOGICAL-c4713-6ab2b55409b77e4b2c7b0f7456d78fefe6afcb31f869291e9f2c6153dd9e39ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fiet-gtd.2014.1013$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fiet-gtd.2014.1013$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,778,782,883,1414,11545,27907,27908,45557,45558,46035,46459</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-gtd.2014.1013$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttps://www.osti.gov/biblio/1786725$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Bai, Feifei</creatorcontrib><creatorcontrib>Liu, Yong</creatorcontrib><creatorcontrib>Liu, Yilu</creatorcontrib><creatorcontrib>Sun, Kai</creatorcontrib><creatorcontrib>Bhatt, Navin</creatorcontrib><creatorcontrib>Rosso, Alberto Del</creatorcontrib><creatorcontrib>Farantatos, Evangelos</creatorcontrib><creatorcontrib>Wang, Xiaoru</creatorcontrib><title>Measurement-based correlation approach for power system dynamic response estimation</title><title>IET generation, transmission & distribution</title><description>Understanding power system dynamics is essential for online stability assessment and control applications. Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. Finally, the proposed correlation approach is applied to the real FDR data for power system dynamic response estimation. The results indicate that the correlation approach could help select better input locations and thus improve the response estimation accuracy.</description><subject>Assessments</subject><subject>autoregressive model</subject><subject>autoregressive processes</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>correlation coefficient index</subject><subject>correlation methods</subject><subject>dynamic response</subject><subject>Estimates</subject><subject>exogenous input identification model</subject><subject>Failure</subject><subject>FDR</subject><subject>frequency disturbance recorder</subject><subject>Global Positioning System</subject><subject>Global Positioning System synchronised phasor measurement unit</subject><subject>Mathematical models</subject><subject>measurement‐based correlation approach</subject><subject>online stability assessment</subject><subject>phasor measurement</subject><subject>power system control</subject><subject>power system dynamic response estimation</subject><subject>power system dynamic stability</subject><subject>power system identification</subject><subject>power system interconnection</subject><subject>Recorders</subject><subject>System dynamics</subject><subject>US Eastern interconnection</subject><issn>1751-8687</issn><issn>1751-8695</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFkL1OwzAURiMEEqXwAGwREwwp_onjhA1KW5CKGCiz5TjXNFUSBztV1bfHIQgxIJhsWee7198JgnOMJhjF2XUJXfTWFROCcOxfMD0IRpgzHKVJxg6_7yk_Dk6c2yDEWBLzUfDyBNJtLdTQdFEuHRShMtZCJbvSNKFsW2ukWofa2LA1O7Ch27sO6rDYN7IuVWjBtaZxEILryvozdRocaVk5OPs6x8HrfLaaPkTL58Xj9HYZqZhjGiUyJzljMcpyziHOieI50jxmScFTDRoSqVVOsfYVSIYh00QlmNGiyIBmMqfj4GKYa_xq4VTZgVor0zSgOoF5mnDCPHQ5QL7I-9Z_UtSlU1BVsgGzdZ7LKKEoJYlH8YAqa5yzoEVrfSW7FxiJ3rLwloW3LHrLorfsMzdDZldWsP8_IBare3I39_5RH46GcI9tzNY2Xtefy65-4R9nq37qjx1toekH96ahPg</recordid><startdate>20150904</startdate><enddate>20150904</enddate><creator>Bai, Feifei</creator><creator>Liu, Yong</creator><creator>Liu, Yilu</creator><creator>Sun, Kai</creator><creator>Bhatt, Navin</creator><creator>Rosso, Alberto Del</creator><creator>Farantatos, Evangelos</creator><creator>Wang, Xiaoru</creator><general>The Institution of Engineering and Technology</general><general>Institution of Engineering and Technology (IET)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>OTOTI</scope></search><sort><creationdate>20150904</creationdate><title>Measurement-based correlation approach for power system dynamic response estimation</title><author>Bai, Feifei ; 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Global positioning system-synchronised phasor measurement units and frequency disturbance recorders (FDRs) make power system dynamics visible and deliver an accurate picture of the overall operation condition to system operators. However, in the actual field implementations, some measurement data can be inaccessible for various reasons, for example, most notably failure of communication. In this study, a measurement-based approach is proposed to estimate the missing power system dynamics. Specifically, a correlation coefficient index is proposed to describe the correlation relationship between different measurements. Then, the auto-regressive with exogenous input identification model is employed to estimate the missing system dynamic response. The US Eastern Interconnection is utilised in this study as a case study. The robustness of the correlation approach is verified by a wide variety of case studies as well. 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| subjects | Assessments autoregressive model autoregressive processes Correlation Correlation analysis correlation coefficient index correlation methods dynamic response Estimates exogenous input identification model Failure FDR frequency disturbance recorder Global Positioning System Global Positioning System synchronised phasor measurement unit Mathematical models measurement‐based correlation approach online stability assessment phasor measurement power system control power system dynamic response estimation power system dynamic stability power system identification power system interconnection Recorders System dynamics US Eastern interconnection |
| title | Measurement-based correlation approach for power system dynamic response estimation |
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