Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies
Summary This paper aims at specifying the optimal allocation of vanadium redox flow battery (VRB) energy storage systems (ESS) for active distribution networks (ADNs). Correspondingly, the appropriate operation strategy and the rated capacity and rated power of VRB ESS allocation are obtained. The d...
Gespeichert in:
| Veröffentlicht in: | International journal of energy research 2022-10, Vol.46 (13), p.18225-18238 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 18238 |
|---|---|
| container_issue | 13 |
| container_start_page | 18225 |
| container_title | International journal of energy research |
| container_volume | 46 |
| creator | Sun, Qifeng Lei, Jiazhi Liu, Zhao |
| description | Summary
This paper aims at specifying the optimal allocation of vanadium redox flow battery (VRB) energy storage systems (ESS) for active distribution networks (ADNs). Correspondingly, the appropriate operation strategy and the rated capacity and rated power of VRB ESS allocation are obtained. The dynamic characteristics of the external working performance of VRB are analyzed in this paper to accurately describe the operation condition of VRB. Then, A variety of operation strategies considering multiple scenarios are proposed to constrain the working state of VRB ESS. In addition, the comprehensive operation benefits are described quantitatively, to determine the optimal allocation of ESS by comparing the operation benefits. Finally, the proposed optimal allocation method was validated and tested by experimental field data of ADNs, and the optimal allocations under different operation strategies are compared, selecting the appropriate operation strategy can improve the benefits by 95%, also the consumption and the operation benefits will increase by 230% and 190% when double the capacity that can be learned from influence analysis. |
| doi_str_mv | 10.1002/er.8438 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2724203553</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2724203553</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2848-6d1ef742d0fecb7883452d59d2f90ba2db831912322dc5061b8e774f1d4c596a3</originalsourceid><addsrcrecordid>eNp1kMtKw0AUhgdRsFbxFQZcuJDUueS6lFIvUCiIQndhkjkJUyeZODNpzWv4xKbGrauzON____AhdE3JghLC7sEu0pCnJ2hGSZYFlIbbUzQjPOZBRpLtObpwbkfI-KPJDH1vOq8aobHQ2pTCK9NiU-G9aIVUfYMtSPOFK20OuBDegx0wtGDrATtvrKgBu8F5aBxWLRalV3vAUjlvVdH_lrXgD8Z-OFya1ikJVrU1bnrtVacBmw7sNDpGhIdagbtEZ5XQDq7-7hy9P67els_BevP0snxYByVLwzSIJYUqCZkkFZRFkqY8jJiMMsmqjBSCySLlNKOMMybLiMS0SCFJworKsIyyWPA5upl6O2s-e3A-35netuNkzhIWMsKjiI_U7USV1jhnoco7OwqzQ05JfhSeg82PwkfybiIPSsPwH5avXn_pH6HRhSc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2724203553</pqid></control><display><type>article</type><title>Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Sun, Qifeng ; Lei, Jiazhi ; Liu, Zhao</creator><creatorcontrib>Sun, Qifeng ; Lei, Jiazhi ; Liu, Zhao</creatorcontrib><description>Summary
This paper aims at specifying the optimal allocation of vanadium redox flow battery (VRB) energy storage systems (ESS) for active distribution networks (ADNs). Correspondingly, the appropriate operation strategy and the rated capacity and rated power of VRB ESS allocation are obtained. The dynamic characteristics of the external working performance of VRB are analyzed in this paper to accurately describe the operation condition of VRB. Then, A variety of operation strategies considering multiple scenarios are proposed to constrain the working state of VRB ESS. In addition, the comprehensive operation benefits are described quantitatively, to determine the optimal allocation of ESS by comparing the operation benefits. Finally, the proposed optimal allocation method was validated and tested by experimental field data of ADNs, and the optimal allocations under different operation strategies are compared, selecting the appropriate operation strategy can improve the benefits by 95%, also the consumption and the operation benefits will increase by 230% and 190% when double the capacity that can be learned from influence analysis.</description><identifier>ISSN: 0363-907X</identifier><identifier>EISSN: 1099-114X</identifier><identifier>DOI: 10.1002/er.8438</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Inc</publisher><subject>Allocations ; Battery energy storage system ; Distribution ; Dynamic characteristics ; Energy storage ; operation strategy ; optimal allocation ; Rechargeable batteries ; Storage systems ; Vanadium</subject><ispartof>International journal of energy research, 2022-10, Vol.46 (13), p.18225-18238</ispartof><rights>2022 John Wiley & Sons Ltd.</rights><rights>2022 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2848-6d1ef742d0fecb7883452d59d2f90ba2db831912322dc5061b8e774f1d4c596a3</cites><orcidid>0000-0001-9540-8903</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%2Fer.8438$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fer.8438$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids></links><search><creatorcontrib>Sun, Qifeng</creatorcontrib><creatorcontrib>Lei, Jiazhi</creatorcontrib><creatorcontrib>Liu, Zhao</creatorcontrib><title>Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies</title><title>International journal of energy research</title><description>Summary
This paper aims at specifying the optimal allocation of vanadium redox flow battery (VRB) energy storage systems (ESS) for active distribution networks (ADNs). Correspondingly, the appropriate operation strategy and the rated capacity and rated power of VRB ESS allocation are obtained. The dynamic characteristics of the external working performance of VRB are analyzed in this paper to accurately describe the operation condition of VRB. Then, A variety of operation strategies considering multiple scenarios are proposed to constrain the working state of VRB ESS. In addition, the comprehensive operation benefits are described quantitatively, to determine the optimal allocation of ESS by comparing the operation benefits. Finally, the proposed optimal allocation method was validated and tested by experimental field data of ADNs, and the optimal allocations under different operation strategies are compared, selecting the appropriate operation strategy can improve the benefits by 95%, also the consumption and the operation benefits will increase by 230% and 190% when double the capacity that can be learned from influence analysis.</description><subject>Allocations</subject><subject>Battery energy storage system</subject><subject>Distribution</subject><subject>Dynamic characteristics</subject><subject>Energy storage</subject><subject>operation strategy</subject><subject>optimal allocation</subject><subject>Rechargeable batteries</subject><subject>Storage systems</subject><subject>Vanadium</subject><issn>0363-907X</issn><issn>1099-114X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kMtKw0AUhgdRsFbxFQZcuJDUueS6lFIvUCiIQndhkjkJUyeZODNpzWv4xKbGrauzON____AhdE3JghLC7sEu0pCnJ2hGSZYFlIbbUzQjPOZBRpLtObpwbkfI-KPJDH1vOq8aobHQ2pTCK9NiU-G9aIVUfYMtSPOFK20OuBDegx0wtGDrATtvrKgBu8F5aBxWLRalV3vAUjlvVdH_lrXgD8Z-OFya1ikJVrU1bnrtVacBmw7sNDpGhIdagbtEZ5XQDq7-7hy9P67els_BevP0snxYByVLwzSIJYUqCZkkFZRFkqY8jJiMMsmqjBSCySLlNKOMMybLiMS0SCFJworKsIyyWPA5upl6O2s-e3A-35netuNkzhIWMsKjiI_U7USV1jhnoco7OwqzQ05JfhSeg82PwkfybiIPSsPwH5avXn_pH6HRhSc</recordid><startdate>20221025</startdate><enddate>20221025</enddate><creator>Sun, Qifeng</creator><creator>Lei, Jiazhi</creator><creator>Liu, Zhao</creator><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>7TN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-9540-8903</orcidid></search><sort><creationdate>20221025</creationdate><title>Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies</title><author>Sun, Qifeng ; Lei, Jiazhi ; Liu, Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2848-6d1ef742d0fecb7883452d59d2f90ba2db831912322dc5061b8e774f1d4c596a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Allocations</topic><topic>Battery energy storage system</topic><topic>Distribution</topic><topic>Dynamic characteristics</topic><topic>Energy storage</topic><topic>operation strategy</topic><topic>optimal allocation</topic><topic>Rechargeable batteries</topic><topic>Storage systems</topic><topic>Vanadium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Qifeng</creatorcontrib><creatorcontrib>Lei, Jiazhi</creatorcontrib><creatorcontrib>Liu, Zhao</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>International journal of energy research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Qifeng</au><au>Lei, Jiazhi</au><au>Liu, Zhao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies</atitle><jtitle>International journal of energy research</jtitle><date>2022-10-25</date><risdate>2022</risdate><volume>46</volume><issue>13</issue><spage>18225</spage><epage>18238</epage><pages>18225-18238</pages><issn>0363-907X</issn><eissn>1099-114X</eissn><abstract>Summary
This paper aims at specifying the optimal allocation of vanadium redox flow battery (VRB) energy storage systems (ESS) for active distribution networks (ADNs). Correspondingly, the appropriate operation strategy and the rated capacity and rated power of VRB ESS allocation are obtained. The dynamic characteristics of the external working performance of VRB are analyzed in this paper to accurately describe the operation condition of VRB. Then, A variety of operation strategies considering multiple scenarios are proposed to constrain the working state of VRB ESS. In addition, the comprehensive operation benefits are described quantitatively, to determine the optimal allocation of ESS by comparing the operation benefits. Finally, the proposed optimal allocation method was validated and tested by experimental field data of ADNs, and the optimal allocations under different operation strategies are compared, selecting the appropriate operation strategy can improve the benefits by 95%, also the consumption and the operation benefits will increase by 230% and 190% when double the capacity that can be learned from influence analysis.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/er.8438</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-9540-8903</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0363-907X |
| ispartof | International journal of energy research, 2022-10, Vol.46 (13), p.18225-18238 |
| issn | 0363-907X 1099-114X |
| language | eng |
| recordid | cdi_proquest_journals_2724203553 |
| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Allocations Battery energy storage system Distribution Dynamic characteristics Energy storage operation strategy optimal allocation Rechargeable batteries Storage systems Vanadium |
| title | Optimal allocation of vanadium redox flow battery energy storage systems in active distribution networks considering multiple operation strategies |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T11%3A39%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=Optimal%20allocation%20of%20vanadium%20redox%20flow%20battery%20energy%20storage%20systems%20in%20active%20distribution%20networks%20considering%20multiple%20operation%20strategies&rft.jtitle=International%20journal%20of%20energy%20research&rft.au=Sun,%20Qifeng&rft.date=2022-10-25&rft.volume=46&rft.issue=13&rft.spage=18225&rft.epage=18238&rft.pages=18225-18238&rft.issn=0363-907X&rft.eissn=1099-114X&rft_id=info:doi/10.1002/er.8438&rft_dat=%3Cproquest_cross%3E2724203553%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=2724203553&rft_id=info:pmid/&rfr_iscdi=true |