Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag
The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influe...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on power delivery 2022-02, Vol.37 (1), p.93-104 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 104 |
---|---|
container_issue | 1 |
container_start_page | 93 |
container_title | IEEE transactions on power delivery |
container_volume | 37 |
creator | Wang, Ying Luo, Hao Xiao, Xian-Yong |
description | The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users. |
doi_str_mv | 10.1109/TPWRD.2021.3053996 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9335540</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9335540</ieee_id><sourcerecordid>2621794224</sourcerecordid><originalsourceid>FETCH-LOGICAL-c344t-e92f1d8b8c224fb916d790c1a0e2c1ee432c85bfea1410fcdf5dbdad5ff8d0373</originalsourceid><addsrcrecordid>eNo9kE1LAzEQhoMoWD_-gF4CnrdOPrabHKVqVYQWW_UkS3YzKZGarUkq-O_dWvE0h3mfd5iHkDMGQ8ZAXy5mr0_XQw6cDQWUQuvRHhkwLapCclD7ZABKlYXSVXVIjlJ6BwAJGgbk7aHzIdPpOvsPs6KzlQnBhyXtHL32KUffbDJaOsGA0WTfhURNsHSOIfnsv5A-J4yJjvuFtxi36Eu3ymaJdG6WJ-TAmVXC0795TJ5vbxbju-JxOrkfXz0WrZAyF6i5Y1Y1quVcukazka00tMwA8pYhSsFbVTYODZMMXGtdaRtrbOmcsiAqcUwudr3r2H1uMOX6vdvE0J-s-YizSsu-uE_xXaqNXUoRXb2O_dfxu2ZQbzXWvxrrrcb6T2MPne8gj4j_gBaiLCWIH3qecFg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2621794224</pqid></control><display><type>article</type><title>Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag</title><source>IEEE Electronic Library (IEL)</source><creator>Wang, Ying ; Luo, Hao ; Xiao, Xian-Yong</creator><creatorcontrib>Wang, Ying ; Luo, Hao ; Xiao, Xian-Yong</creatorcontrib><description>The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users.</description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/TPWRD.2021.3053996</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acceleration ; Biological system modeling ; Chains ; Circuit faults ; Distributed generation ; Economics ; optimal planning ; Planning ; Power grids ; Power quality ; sensitive user ; voltage sag ; Voltage sags</subject><ispartof>IEEE transactions on power delivery, 2022-02, Vol.37 (1), p.93-104</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c344t-e92f1d8b8c224fb916d790c1a0e2c1ee432c85bfea1410fcdf5dbdad5ff8d0373</citedby><cites>FETCH-LOGICAL-c344t-e92f1d8b8c224fb916d790c1a0e2c1ee432c85bfea1410fcdf5dbdad5ff8d0373</cites><orcidid>0000-0001-5926-4068 ; 0000-0002-7682-8299</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9335540$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9335540$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Luo, Hao</creatorcontrib><creatorcontrib>Xiao, Xian-Yong</creatorcontrib><title>Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag</title><title>IEEE transactions on power delivery</title><addtitle>TPWRD</addtitle><description>The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users.</description><subject>Acceleration</subject><subject>Biological system modeling</subject><subject>Chains</subject><subject>Circuit faults</subject><subject>Distributed generation</subject><subject>Economics</subject><subject>optimal planning</subject><subject>Planning</subject><subject>Power grids</subject><subject>Power quality</subject><subject>sensitive user</subject><subject>voltage sag</subject><subject>Voltage sags</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWD_-gF4CnrdOPrabHKVqVYQWW_UkS3YzKZGarUkq-O_dWvE0h3mfd5iHkDMGQ8ZAXy5mr0_XQw6cDQWUQuvRHhkwLapCclD7ZABKlYXSVXVIjlJ6BwAJGgbk7aHzIdPpOvsPs6KzlQnBhyXtHL32KUffbDJaOsGA0WTfhURNsHSOIfnsv5A-J4yJjvuFtxi36Eu3ymaJdG6WJ-TAmVXC0795TJ5vbxbju-JxOrkfXz0WrZAyF6i5Y1Y1quVcukazka00tMwA8pYhSsFbVTYODZMMXGtdaRtrbOmcsiAqcUwudr3r2H1uMOX6vdvE0J-s-YizSsu-uE_xXaqNXUoRXb2O_dfxu2ZQbzXWvxrrrcb6T2MPne8gj4j_gBaiLCWIH3qecFg</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Wang, Ying</creator><creator>Luo, Hao</creator><creator>Xiao, Xian-Yong</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>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-5926-4068</orcidid><orcidid>https://orcid.org/0000-0002-7682-8299</orcidid></search><sort><creationdate>20220201</creationdate><title>Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag</title><author>Wang, Ying ; Luo, Hao ; Xiao, Xian-Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c344t-e92f1d8b8c224fb916d790c1a0e2c1ee432c85bfea1410fcdf5dbdad5ff8d0373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acceleration</topic><topic>Biological system modeling</topic><topic>Chains</topic><topic>Circuit faults</topic><topic>Distributed generation</topic><topic>Economics</topic><topic>optimal planning</topic><topic>Planning</topic><topic>Power grids</topic><topic>Power quality</topic><topic>sensitive user</topic><topic>voltage sag</topic><topic>Voltage sags</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Luo, Hao</creatorcontrib><creatorcontrib>Xiao, Xian-Yong</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><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>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, Ying</au><au>Luo, Hao</au><au>Xiao, Xian-Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>37</volume><issue>1</issue><spage>93</spage><epage>104</epage><pages>93-104</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>The inevitable voltage sag events cause losses to distributed generation (DG) and sensitive users. Reasonable planning for both of them helps to mitigate the impact of voltage sag. In this paper, a joint optimal planning method is proposed for DG and large sensitive user (LSU) considering the influence of voltage sag. Firstly, the new models of accelerated trip and chain trip for DG under voltage sag are established, to characterize the influence of DG tripping on other DG and sag characteristics during the sag event accurately. Secondly, a new voltage sag frequency assessment method is proposed, which considers models of accelerated trip and chain trip for DG, the tripping characteristics of distance protection (DP), to quantify the voltage sag severity accurately of DGs and LSUs in the gird which is with DP. Lastly, a joint optimal planning model is established considering the losses of DG and LSU under voltage sag, to support the planning of DG and LSU in different scenarios. The method is applied to IEEE RTS-30 for verification, proving that the method can give a direction of the most beneficial solution for the planner, to reduce the losses of voltage sag to both the power system and users.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRD.2021.3053996</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-5926-4068</orcidid><orcidid>https://orcid.org/0000-0002-7682-8299</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0885-8977 |
ispartof | IEEE transactions on power delivery, 2022-02, Vol.37 (1), p.93-104 |
issn | 0885-8977 1937-4208 |
language | eng |
recordid | cdi_ieee_primary_9335540 |
source | IEEE Electronic Library (IEL) |
subjects | Acceleration Biological system modeling Chains Circuit faults Distributed generation Economics optimal planning Planning Power grids Power quality sensitive user voltage sag Voltage sags |
title | Joint Optimal Planning of Distributed Generations and Sensitive Users Considering Voltage Sag |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T18%3A46%3A28IST&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=Joint%20Optimal%20Planning%20of%20Distributed%20Generations%20and%20Sensitive%20Users%20Considering%20Voltage%20Sag&rft.jtitle=IEEE%20transactions%20on%20power%20delivery&rft.au=Wang,%20Ying&rft.date=2022-02-01&rft.volume=37&rft.issue=1&rft.spage=93&rft.epage=104&rft.pages=93-104&rft.issn=0885-8977&rft.eissn=1937-4208&rft.coden=ITPDE5&rft_id=info:doi/10.1109/TPWRD.2021.3053996&rft_dat=%3Cproquest_RIE%3E2621794224%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=2621794224&rft_id=info:pmid/&rft_ieee_id=9335540&rfr_iscdi=true |