Determination of reduced order model for torsional interaction investigations using selective modal analysis – Part I: Initial approach
► The application of selective modal analysis (SMA) for torsional interaction investigations is proposed. ► Preserving the significant dynamics the SMA gives a reduced order model. ► SMA algorithm is verified based on linearised model of the IEEE first benchmark model. ► In companion paper, the enha...
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| Veröffentlicht in: | International journal of electrical power & energy systems 2013-01, Vol.44 (1), p.482-487 |
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| container_title | International journal of electrical power & energy systems |
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| creator | Pottakulath, Vinod Cheriyan, Elizabeth P. Sreerama Kumar, R. |
| description | ► The application of selective modal analysis (SMA) for torsional interaction investigations is proposed. ► Preserving the significant dynamics the SMA gives a reduced order model. ► SMA algorithm is verified based on linearised model of the IEEE first benchmark model. ► In companion paper, the enhancements on the truncation approach and its application is presented.
This paper presents a new methodology for the determination of reduced order model in torsional interaction investigations. The conventional methods, even though give fast results for the model reduction, the physical meaning of the system is generally lost in the process. The proposed method, based on selective modal analysis (SMA), overcomes the drawbacks of the conventional methods for the determination of reduced order model (ROM). The selective modal analysis gives a reduced order model for subsynchronous resonance analysis preserving the significant dynamics. The formulation is illustrated on linearised model of IEEE first benchmark model (FBM). The companion paper explores the enhancements on the proposed algorithm and its applications to large practical power system. |
| doi_str_mv | 10.1016/j.ijepes.2012.07.058 |
| format | Article |
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This paper presents a new methodology for the determination of reduced order model in torsional interaction investigations. The conventional methods, even though give fast results for the model reduction, the physical meaning of the system is generally lost in the process. The proposed method, based on selective modal analysis (SMA), overcomes the drawbacks of the conventional methods for the determination of reduced order model (ROM). The selective modal analysis gives a reduced order model for subsynchronous resonance analysis preserving the significant dynamics. The formulation is illustrated on linearised model of IEEE first benchmark model (FBM). The companion paper explores the enhancements on the proposed algorithm and its applications to large practical power system.</description><identifier>ISSN: 0142-0615</identifier><identifier>EISSN: 1879-3517</identifier><identifier>DOI: 10.1016/j.ijepes.2012.07.058</identifier><identifier>CODEN: IEPSDC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Algorithms ; Applied sciences ; Benchmarking ; Dynamic tests ; Dynamical systems ; Dynamics ; Eigen values ; Electric power generation ; Electrical engineering. Electrical power engineering ; Electrical power engineering ; Exact sciences and technology ; Mathematical models ; Miscellaneous ; Power networks and lines ; Reduced order model ; Reduced order models ; Selective modal analysis ; Subsynchronous resonance ; Torsional interactions</subject><ispartof>International journal of electrical power & energy systems, 2013-01, Vol.44 (1), p.482-487</ispartof><rights>2012</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c318t-613ac4bd27614cab7cd58f0e10bacd08c39bf833ba4270c298f8767174a4e6663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijepes.2012.07.058$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26515109$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Pottakulath, Vinod</creatorcontrib><creatorcontrib>Cheriyan, Elizabeth P.</creatorcontrib><creatorcontrib>Sreerama Kumar, R.</creatorcontrib><title>Determination of reduced order model for torsional interaction investigations using selective modal analysis – Part I: Initial approach</title><title>International journal of electrical power & energy systems</title><description>► The application of selective modal analysis (SMA) for torsional interaction investigations is proposed. ► Preserving the significant dynamics the SMA gives a reduced order model. ► SMA algorithm is verified based on linearised model of the IEEE first benchmark model. ► In companion paper, the enhancements on the truncation approach and its application is presented.
This paper presents a new methodology for the determination of reduced order model in torsional interaction investigations. The conventional methods, even though give fast results for the model reduction, the physical meaning of the system is generally lost in the process. The proposed method, based on selective modal analysis (SMA), overcomes the drawbacks of the conventional methods for the determination of reduced order model (ROM). The selective modal analysis gives a reduced order model for subsynchronous resonance analysis preserving the significant dynamics. The formulation is illustrated on linearised model of IEEE first benchmark model (FBM). The companion paper explores the enhancements on the proposed algorithm and its applications to large practical power system.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Benchmarking</subject><subject>Dynamic tests</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Eigen values</subject><subject>Electric power generation</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Mathematical models</subject><subject>Miscellaneous</subject><subject>Power networks and lines</subject><subject>Reduced order model</subject><subject>Reduced order models</subject><subject>Selective modal analysis</subject><subject>Subsynchronous resonance</subject><subject>Torsional interactions</subject><issn>0142-0615</issn><issn>1879-3517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kLFuFDEQhi0EEkfgDSjcINHsZrz22rsUSCgk5KRIUCS15fXOBp_27MOzd1I6WmrekCfBl4soqaaY__M__hh7K6AWIPT5pg4b3CHVDYimBlND2z1jK9GZvpKtMM_ZCoRqKtCifcleEW0AwPSqWbFfn3HBvA3RLSFFniaecdx7HHnKI2a-TSPOfEqZLylTibiZh1gQ5x-BEA9IS7h_xInvKcR7TjhjWR_wiBfAFeqBAvE_P3_zby4vfP2Br2NYwnG52-Xk_PfX7MXkZsI3T_OM3V1d3l5cVzdfv6wvPt1UXopuqbSQzqthbIwWyrvB-LHtJkABg_MjdF72w9RJOTjVGPBN302d0UYY5RRqreUZe396t9T-2Jfj7TaQx3l2EdOerGiFVLKVPZSoOkV9TkQZJ7vLYevygxVgj-btxp7M26N5C8YW8wV799TgyLt5yi76QP_YRrelA_qS-3jKYfnuIWC25APGIj_k4s-OKfy_6C8QPp8y</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Pottakulath, Vinod</creator><creator>Cheriyan, Elizabeth P.</creator><creator>Sreerama Kumar, R.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>201301</creationdate><title>Determination of reduced order model for torsional interaction investigations using selective modal analysis – Part I: Initial approach</title><author>Pottakulath, Vinod ; Cheriyan, Elizabeth P. ; Sreerama Kumar, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c318t-613ac4bd27614cab7cd58f0e10bacd08c39bf833ba4270c298f8767174a4e6663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Benchmarking</topic><topic>Dynamic tests</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Eigen values</topic><topic>Electric power generation</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Mathematical models</topic><topic>Miscellaneous</topic><topic>Power networks and lines</topic><topic>Reduced order model</topic><topic>Reduced order models</topic><topic>Selective modal analysis</topic><topic>Subsynchronous resonance</topic><topic>Torsional interactions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pottakulath, Vinod</creatorcontrib><creatorcontrib>Cheriyan, Elizabeth P.</creatorcontrib><creatorcontrib>Sreerama Kumar, R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of electrical power & energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pottakulath, Vinod</au><au>Cheriyan, Elizabeth P.</au><au>Sreerama Kumar, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of reduced order model for torsional interaction investigations using selective modal analysis – Part I: Initial approach</atitle><jtitle>International journal of electrical power & energy systems</jtitle><date>2013-01</date><risdate>2013</risdate><volume>44</volume><issue>1</issue><spage>482</spage><epage>487</epage><pages>482-487</pages><issn>0142-0615</issn><eissn>1879-3517</eissn><coden>IEPSDC</coden><abstract>► The application of selective modal analysis (SMA) for torsional interaction investigations is proposed. ► Preserving the significant dynamics the SMA gives a reduced order model. ► SMA algorithm is verified based on linearised model of the IEEE first benchmark model. ► In companion paper, the enhancements on the truncation approach and its application is presented.
This paper presents a new methodology for the determination of reduced order model in torsional interaction investigations. The conventional methods, even though give fast results for the model reduction, the physical meaning of the system is generally lost in the process. The proposed method, based on selective modal analysis (SMA), overcomes the drawbacks of the conventional methods for the determination of reduced order model (ROM). The selective modal analysis gives a reduced order model for subsynchronous resonance analysis preserving the significant dynamics. The formulation is illustrated on linearised model of IEEE first benchmark model (FBM). The companion paper explores the enhancements on the proposed algorithm and its applications to large practical power system.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijepes.2012.07.058</doi><tpages>6</tpages></addata></record> |
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| ispartof | International journal of electrical power & energy systems, 2013-01, Vol.44 (1), p.482-487 |
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| language | eng |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Algorithms Applied sciences Benchmarking Dynamic tests Dynamical systems Dynamics Eigen values Electric power generation Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Mathematical models Miscellaneous Power networks and lines Reduced order model Reduced order models Selective modal analysis Subsynchronous resonance Torsional interactions |
| title | Determination of reduced order model for torsional interaction investigations using selective modal analysis – Part I: Initial approach |
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