EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network
Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs, automated model reduction plays an important...
Gespeichert in:
| Veröffentlicht in: | CSEE Journal of Power and Energy Systems 2015-03, Vol.1 (1), p.52-60 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 60 |
|---|---|
| container_issue | 1 |
| container_start_page | 52 |
| container_title | CSEE Journal of Power and Energy Systems |
| container_volume | 1 |
| creator | Wang, Chengshan Yu, Hao Li, Peng Wu, Jianzhong Ding, Chengdi Song, Guanyu Lin, Dun Xing, Feng |
| description | Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs, automated model reduction plays an important role. This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error. The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs. Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods. |
| doi_str_mv | 10.17775/CSEEJPES.2015.00007 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2323116885</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2323116885</sourcerecordid><originalsourceid>FETCH-LOGICAL-c255t-4f5905d44f2454f2738bd61be7dac41b0369e2aa33fe8721a1e6aba1b7101b023</originalsourceid><addsrcrecordid>eNpNkEtLw0AQgBdRsGj_gYcFz6n7yGbTo5T4rFhoPYdJMqmpSTfuJpX217umCs5hZmA-ZpiPkCvOJlxrrW5myyR5WiTLiWBcTZgPfUJGgk2jgLFQnP7rz8nYuY0nRKy0YOGIHJKX1SLo9i3S1pq1hYZahLo6QFeZLTUlfbb72uyo6zPXQo40A4cFbUyBtUeLPh_ABrt3UzhaGktrsGsMXA41UvDjHdKicp2tsn5gt9h9GftxSc5KqB2Of-sFebtLVrOHYP56_zi7nQe5UKoLwlJNmSrCsBSh8knLOCsinqEuIA95xmQ0RQEgZYmxFhw4RpABzzRnfirkBbk-7vUPfvbounRjerv1J1MhheQ8imPlqfBI5dY4Z7FMW1s1YPcpZ-kgOv0Tnf6ITgfR8huNh3Nr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2323116885</pqid></control><display><type>article</type><title>EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network</title><source>DOAJ Directory of Open Access Journals</source><creator>Wang, Chengshan ; Yu, Hao ; Li, Peng ; Wu, Jianzhong ; Ding, Chengdi ; Song, Guanyu ; Lin, Dun ; Xing, Feng</creator><creatorcontrib>Wang, Chengshan ; Yu, Hao ; Li, Peng ; Wu, Jianzhong ; Ding, Chengdi ; Song, Guanyu ; Lin, Dun ; Xing, Feng</creatorcontrib><description>Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs, automated model reduction plays an important role. This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error. The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs. Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods.</description><identifier>ISSN: 2096-0042</identifier><identifier>EISSN: 2096-0042</identifier><identifier>DOI: 10.17775/CSEEJPES.2015.00007</identifier><language>eng</language><publisher>Beijing: Chinese Society for Electrical Engineering Journal of Power and Energy Systems</publisher><subject>Algorithms ; Automation ; Computer simulation ; Distribution management ; Error analysis ; Error reduction ; Model reduction ; Networks ; Subspace methods</subject><ispartof>CSEE Journal of Power and Energy Systems, 2015-03, Vol.1 (1), p.52-60</ispartof><rights>2015. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://ieeexplore.ieee.org/Xplorehelp/#/accessing-content/open-access.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c255t-4f5905d44f2454f2738bd61be7dac41b0369e2aa33fe8721a1e6aba1b7101b023</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27923,27924</link.rule.ids></links><search><creatorcontrib>Wang, Chengshan</creatorcontrib><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Li, Peng</creatorcontrib><creatorcontrib>Wu, Jianzhong</creatorcontrib><creatorcontrib>Ding, Chengdi</creatorcontrib><creatorcontrib>Song, Guanyu</creatorcontrib><creatorcontrib>Lin, Dun</creatorcontrib><creatorcontrib>Xing, Feng</creatorcontrib><title>EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network</title><title>CSEE Journal of Power and Energy Systems</title><description>Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs, automated model reduction plays an important role. This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error. The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs. Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods.</description><subject>Algorithms</subject><subject>Automation</subject><subject>Computer simulation</subject><subject>Distribution management</subject><subject>Error analysis</subject><subject>Error reduction</subject><subject>Model reduction</subject><subject>Networks</subject><subject>Subspace methods</subject><issn>2096-0042</issn><issn>2096-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkEtLw0AQgBdRsGj_gYcFz6n7yGbTo5T4rFhoPYdJMqmpSTfuJpX217umCs5hZmA-ZpiPkCvOJlxrrW5myyR5WiTLiWBcTZgPfUJGgk2jgLFQnP7rz8nYuY0nRKy0YOGIHJKX1SLo9i3S1pq1hYZahLo6QFeZLTUlfbb72uyo6zPXQo40A4cFbUyBtUeLPh_ABrt3UzhaGktrsGsMXA41UvDjHdKicp2tsn5gt9h9GftxSc5KqB2Of-sFebtLVrOHYP56_zi7nQe5UKoLwlJNmSrCsBSh8knLOCsinqEuIA95xmQ0RQEgZYmxFhw4RpABzzRnfirkBbk-7vUPfvbounRjerv1J1MhheQ8imPlqfBI5dY4Z7FMW1s1YPcpZ-kgOv0Tnf6ITgfR8huNh3Nr</recordid><startdate>201503</startdate><enddate>201503</enddate><creator>Wang, Chengshan</creator><creator>Yu, Hao</creator><creator>Li, Peng</creator><creator>Wu, Jianzhong</creator><creator>Ding, Chengdi</creator><creator>Song, Guanyu</creator><creator>Lin, Dun</creator><creator>Xing, Feng</creator><general>Chinese Society for Electrical Engineering Journal of Power and Energy Systems</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>201503</creationdate><title>EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network</title><author>Wang, Chengshan ; Yu, Hao ; Li, Peng ; Wu, Jianzhong ; Ding, Chengdi ; Song, Guanyu ; Lin, Dun ; Xing, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c255t-4f5905d44f2454f2738bd61be7dac41b0369e2aa33fe8721a1e6aba1b7101b023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Automation</topic><topic>Computer simulation</topic><topic>Distribution management</topic><topic>Error analysis</topic><topic>Error reduction</topic><topic>Model reduction</topic><topic>Networks</topic><topic>Subspace methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chengshan</creatorcontrib><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Li, Peng</creatorcontrib><creatorcontrib>Wu, Jianzhong</creatorcontrib><creatorcontrib>Ding, Chengdi</creatorcontrib><creatorcontrib>Song, Guanyu</creatorcontrib><creatorcontrib>Lin, Dun</creatorcontrib><creatorcontrib>Xing, Feng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>CSEE Journal of Power and Energy Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Chengshan</au><au>Yu, Hao</au><au>Li, Peng</au><au>Wu, Jianzhong</au><au>Ding, Chengdi</au><au>Song, Guanyu</au><au>Lin, Dun</au><au>Xing, Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network</atitle><jtitle>CSEE Journal of Power and Energy Systems</jtitle><date>2015-03</date><risdate>2015</risdate><volume>1</volume><issue>1</issue><spage>52</spage><epage>60</epage><pages>52-60</pages><issn>2096-0042</issn><eissn>2096-0042</eissn><abstract>Effective model reduction methods are required to deal with new challenges in active distribution network simulations that are on a large scale and have complicated structures. In the development of advanced electromagnetic transient simulation programs, automated model reduction plays an important role. This paper proposes an automated realization algorithm for the Krylov subspace based model reduction methods of an active distribution network with which the reduced model can be automatically established according to a given threshold of reduction error. The combined state-space nodal analysis framework is employed to apply the automated model reduction algorithm in popular EMTP-type simulation programs. Simulations are performed using PSCAD and a self-developed program to show the feasibility and validity of the proposed methods.</abstract><cop>Beijing</cop><pub>Chinese Society for Electrical Engineering Journal of Power and Energy Systems</pub><doi>10.17775/CSEEJPES.2015.00007</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2096-0042 |
| ispartof | CSEE Journal of Power and Energy Systems, 2015-03, Vol.1 (1), p.52-60 |
| issn | 2096-0042 2096-0042 |
| language | eng |
| recordid | cdi_proquest_journals_2323116885 |
| source | DOAJ Directory of Open Access Journals |
| subjects | Algorithms Automation Computer simulation Distribution management Error analysis Error reduction Model reduction Networks Subspace methods |
| title | EMTP-type program realization of Krylov subspace based model reduction methods for large-scale active distribution network |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T05%3A24%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=EMTP-type%20program%20realization%20of%20Krylov%20subspace%20based%20model%20reduction%20methods%20for%20large-scale%20active%20distribution%20network&rft.jtitle=CSEE%20Journal%20of%20Power%20and%20Energy%20Systems&rft.au=Wang,%20Chengshan&rft.date=2015-03&rft.volume=1&rft.issue=1&rft.spage=52&rft.epage=60&rft.pages=52-60&rft.issn=2096-0042&rft.eissn=2096-0042&rft_id=info:doi/10.17775/CSEEJPES.2015.00007&rft_dat=%3Cproquest_cross%3E2323116885%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2323116885&rft_id=info:pmid/&rfr_iscdi=true |