Wide area monitoring of sustained oscillations using double‐stage mode decomposition
Summary This study presents a systematic approach to monitor sustained oscillations in real‐time power systems. In general, monitoring of sustained oscillation means detection of oscillating frequency, its time range, type, and source of sustained oscillation. The basic steps adopted in paper includ...
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Veröffentlicht in: | International transactions on electrical energy systems 2018-06, Vol.28 (6), p.e2553-n/a |
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This study presents a systematic approach to monitor sustained oscillations in real‐time power systems. In general, monitoring of sustained oscillation means detection of oscillating frequency, its time range, type, and source of sustained oscillation. The basic steps adopted in paper include double‐stage mode decomposition (DSMD), spectral and statistical analysis. The DSMD follows decomposition of signals by using improved complete ensemble empirical mode decomposition with adaptive noise followed by further decomposition by using variational mode decomposition to obtain rich dominant mode. It is shown that decomposed mode obtained by DSMD carries monotonic frequency component. The proposed approach is validated on simulated signals and real‐time phasor measurement unit signals. The frequency and time duration of interarea and forced oscillations are distinctly detected. Also, the source of forced oscillations is identified in study. The proposed approach is more effective and accurate in wide‐area monitoring than the other spectral‐based methods for oscillation analysis in phasor measurement unit signals. |
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This study presents a systematic approach to monitor sustained oscillations in real‐time power systems. In general, monitoring of sustained oscillation means detection of oscillating frequency, its time range, type, and source of sustained oscillation. The basic steps adopted in paper include double‐stage mode decomposition (DSMD), spectral and statistical analysis. The DSMD follows decomposition of signals by using improved complete ensemble empirical mode decomposition with adaptive noise followed by further decomposition by using variational mode decomposition to obtain rich dominant mode. It is shown that decomposed mode obtained by DSMD carries monotonic frequency component. The proposed approach is validated on simulated signals and real‐time phasor measurement unit signals. The frequency and time duration of interarea and forced oscillations are distinctly detected. Also, the source of forced oscillations is identified in study. The proposed approach is more effective and accurate in wide‐area monitoring than the other spectral‐based methods for oscillation analysis in phasor measurement unit signals.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/etep.2553</identifier><language>eng</language><publisher>Hoboken: Hindawi Limited</publisher><subject>Decomposition ; Empirical analysis ; empirical mode decomposition (EMD) ; forced oscillation ; interarea oscillation ; mode estimation ; Monitoring ; Oscillations ; spectral analysis ; Statistical analysis ; wide area monitoring system (WAMS)</subject><ispartof>International transactions on electrical energy systems, 2018-06, Vol.28 (6), p.e2553-n/a</ispartof><rights>Copyright © 2018 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3323-8674d054b1dd2b894a0c37d08d54f45ca9a4bbf5a7496c62ffa7c3a7bf2cf713</citedby><cites>FETCH-LOGICAL-c3323-8674d054b1dd2b894a0c37d08d54f45ca9a4bbf5a7496c62ffa7c3a7bf2cf713</cites><orcidid>0000-0002-6325-6017 ; 0000-0002-7715-7677</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fetep.2553$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetep.2553$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Kumar, Lalit</creatorcontrib><creatorcontrib>Kishor, Nand</creatorcontrib><title>Wide area monitoring of sustained oscillations using double‐stage mode decomposition</title><title>International transactions on electrical energy systems</title><description>Summary
This study presents a systematic approach to monitor sustained oscillations in real‐time power systems. In general, monitoring of sustained oscillation means detection of oscillating frequency, its time range, type, and source of sustained oscillation. The basic steps adopted in paper include double‐stage mode decomposition (DSMD), spectral and statistical analysis. The DSMD follows decomposition of signals by using improved complete ensemble empirical mode decomposition with adaptive noise followed by further decomposition by using variational mode decomposition to obtain rich dominant mode. It is shown that decomposed mode obtained by DSMD carries monotonic frequency component. The proposed approach is validated on simulated signals and real‐time phasor measurement unit signals. The frequency and time duration of interarea and forced oscillations are distinctly detected. Also, the source of forced oscillations is identified in study. The proposed approach is more effective and accurate in wide‐area monitoring than the other spectral‐based methods for oscillation analysis in phasor measurement unit signals.</description><subject>Decomposition</subject><subject>Empirical analysis</subject><subject>empirical mode decomposition (EMD)</subject><subject>forced oscillation</subject><subject>interarea oscillation</subject><subject>mode estimation</subject><subject>Monitoring</subject><subject>Oscillations</subject><subject>spectral analysis</subject><subject>Statistical analysis</subject><subject>wide area monitoring system (WAMS)</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kM1Kw0AUhQdRsNQufIOAKxdp57eTLKVUKxR0EXQ5TOanTEkzcSZBuvMRfEafxIl14ca7uRfud87lHgCuEZwjCPHC9KabY8bIGZhgyGDOISnO_8yXYBbjHqYqKUK8mICXV6dNJoOR2cG3rvfBtbvM2ywOsZeuNTrzUbmmkb3zbcyGOO61H-rGfH18JmZnkjJ5aKP8ofPRjeAVuLCyiWb226egul9Xq02-fXp4XN1tc0UIJnmx5FRDRmukNa6LkkqoCNew0IxaypQsJa1ryySn5VItsbWSKyJ5bbGyHJEpuDnZdsG_DSb2Yu-H0KaLIv3MEaeM0ETdnigVfIzBWNEFd5DhKBAUY3BiDE6MwSV2cWLfXWOO_4NiXa2ffxTfUhFyEw</recordid><startdate>201806</startdate><enddate>201806</enddate><creator>Kumar, Lalit</creator><creator>Kishor, Nand</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-6325-6017</orcidid><orcidid>https://orcid.org/0000-0002-7715-7677</orcidid></search><sort><creationdate>201806</creationdate><title>Wide area monitoring of sustained oscillations using double‐stage mode decomposition</title><author>Kumar, Lalit ; Kishor, Nand</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3323-8674d054b1dd2b894a0c37d08d54f45ca9a4bbf5a7496c62ffa7c3a7bf2cf713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Decomposition</topic><topic>Empirical analysis</topic><topic>empirical mode decomposition (EMD)</topic><topic>forced oscillation</topic><topic>interarea oscillation</topic><topic>mode estimation</topic><topic>Monitoring</topic><topic>Oscillations</topic><topic>spectral analysis</topic><topic>Statistical analysis</topic><topic>wide area monitoring system (WAMS)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Lalit</creatorcontrib><creatorcontrib>Kishor, Nand</creatorcontrib><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>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International transactions on electrical energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Lalit</au><au>Kishor, Nand</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wide area monitoring of sustained oscillations using double‐stage mode decomposition</atitle><jtitle>International transactions on electrical energy systems</jtitle><date>2018-06</date><risdate>2018</risdate><volume>28</volume><issue>6</issue><spage>e2553</spage><epage>n/a</epage><pages>e2553-n/a</pages><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
This study presents a systematic approach to monitor sustained oscillations in real‐time power systems. In general, monitoring of sustained oscillation means detection of oscillating frequency, its time range, type, and source of sustained oscillation. The basic steps adopted in paper include double‐stage mode decomposition (DSMD), spectral and statistical analysis. The DSMD follows decomposition of signals by using improved complete ensemble empirical mode decomposition with adaptive noise followed by further decomposition by using variational mode decomposition to obtain rich dominant mode. It is shown that decomposed mode obtained by DSMD carries monotonic frequency component. The proposed approach is validated on simulated signals and real‐time phasor measurement unit signals. The frequency and time duration of interarea and forced oscillations are distinctly detected. Also, the source of forced oscillations is identified in study. The proposed approach is more effective and accurate in wide‐area monitoring than the other spectral‐based methods for oscillation analysis in phasor measurement unit signals.</abstract><cop>Hoboken</cop><pub>Hindawi Limited</pub><doi>10.1002/etep.2553</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-6325-6017</orcidid><orcidid>https://orcid.org/0000-0002-7715-7677</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Decomposition Empirical analysis empirical mode decomposition (EMD) forced oscillation interarea oscillation mode estimation Monitoring Oscillations spectral analysis Statistical analysis wide area monitoring system (WAMS) |
title | Wide area monitoring of sustained oscillations using double‐stage mode decomposition |
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