Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach
When considering the frequency stability issues brought on by load shifts in a microgrid ( μ G) due to a significant integration of fluctuating renewable energy source-based generators and an inherent low inertia, energy storage units (ESUs) are unavoidable. The ESUs can immediately charge or discha...
Gespeichert in:
| Veröffentlicht in: | Electrical engineering 2024, Vol.106 (4), p.4257-4275 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4275 |
|---|---|
| container_issue | 4 |
| container_start_page | 4257 |
| container_title | Electrical engineering |
| container_volume | 106 |
| creator | Khokhar, Bhuvnesh Singh Parmar, K. P. |
| description | When considering the frequency stability issues brought on by load shifts in a microgrid (
μ
G) due to a significant integration of fluctuating renewable energy source-based generators and an inherent low inertia, energy storage units (ESUs) are unavoidable. The ESUs can immediately charge or discharge to make up for any shifts in load in the
μ
G since they react more quickly. This research investigates how a redox flow battery unit (RFBU) impacts the dynamic responses of a standalone
μ
G (S
μ
G) in this respect. As the secondary controller, an optimal intelligent model predictive control (iMPC) approach is presented. The cyclical parthenogenesis algorithm is implemented to improve the tuning parameter (
τ
w
) in the iMPC cost function to demonstrate an optimal performance of the recommended control approach. The effectiveness of the iMPC approach is contrasted with that of other well-known control approaches. The simulation findings clearly demonstrate the impact of RFBU integration in the S
μ
G and the capability of the recommended iMPC approach in terms of improved dynamic responses and their transient characteristics. As a consequence, the peak value of the S
μ
G dynamic response improves by 70.53%, and the settling time improves by 82.26%. The suggested control approach’s sensitivity to the S
μ
G parametric uncertainties is also justified. The closed-loop stability of the suggested approach is also established. The effectiveness of the proposed iMPC approach and the impact of the RFBU integration are then confirmed by statistical analysis. |
| doi_str_mv | 10.1007/s00202-023-02222-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3095150383</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3095150383</sourcerecordid><originalsourceid>FETCH-LOGICAL-c270t-adee965468ac2be0242d64e73d3fdb68bcc91f690db2f32d822e8eb4a87cc4083</originalsourceid><addsrcrecordid>eNp9kEFLxDAQhYMouK7-AU8Bz9VpkrbpURZXhQUveg5pktYs3aSm6er6641W8GYghMl8b4b3ELrM4ToHqG5GAAIkA0LTTScrj9AiZzR9MV4dowXUjGdVTfJTdDaOWwCgRc0WaL8O5m0yTh1wMN3Uy2i9w9ZhiXdWBd8Fq1MZTRdSy3WJ0v4Dt71_x42M0YQDbg54ira3n9996bAfot3JHg-JtSravcHKuxh8j-UwBC_V6zk6aWU_movfd4le1nfPq4ds83T_uLrdZIpUEDOpjanLgpVcKtIYIIzokpmKatrqpuSNUnXeljXohrSUaE6I4aZhkldKMeB0ia7muWltsjlGsfVTcGmloFAXeQGU00SRmUqGxzGYVgwhOQgHkYP4zlfM-YqUr_jJV5RJRGfRmGDXmfA3-h_VFwm8gMs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3095150383</pqid></control><display><type>article</type><title>Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach</title><source>Springer Nature - Complete Springer Journals</source><creator>Khokhar, Bhuvnesh ; Singh Parmar, K. P.</creator><creatorcontrib>Khokhar, Bhuvnesh ; Singh Parmar, K. P.</creatorcontrib><description>When considering the frequency stability issues brought on by load shifts in a microgrid (
μ
G) due to a significant integration of fluctuating renewable energy source-based generators and an inherent low inertia, energy storage units (ESUs) are unavoidable. The ESUs can immediately charge or discharge to make up for any shifts in load in the
μ
G since they react more quickly. This research investigates how a redox flow battery unit (RFBU) impacts the dynamic responses of a standalone
μ
G (S
μ
G) in this respect. As the secondary controller, an optimal intelligent model predictive control (iMPC) approach is presented. The cyclical parthenogenesis algorithm is implemented to improve the tuning parameter (
τ
w
) in the iMPC cost function to demonstrate an optimal performance of the recommended control approach. The effectiveness of the iMPC approach is contrasted with that of other well-known control approaches. The simulation findings clearly demonstrate the impact of RFBU integration in the S
μ
G and the capability of the recommended iMPC approach in terms of improved dynamic responses and their transient characteristics. As a consequence, the peak value of the S
μ
G dynamic response improves by 70.53%, and the settling time improves by 82.26%. The suggested control approach’s sensitivity to the S
μ
G parametric uncertainties is also justified. The closed-loop stability of the suggested approach is also established. The effectiveness of the proposed iMPC approach and the impact of the RFBU integration are then confirmed by statistical analysis.</description><identifier>ISSN: 0948-7921</identifier><identifier>EISSN: 1432-0487</identifier><identifier>DOI: 10.1007/s00202-023-02222-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Closed loops ; Control stability ; Cost function ; Distributed generation ; Dynamic response ; Economics and Management ; Effectiveness ; Electrical Engineering ; Electrical loads ; Electrical Machines and Networks ; Energy Policy ; Engineering ; Flow stability ; Frequency stability ; Impact analysis ; Original Paper ; Parameter sensitivity ; Power Electronics ; Predictive control ; Renewable energy sources ; Statistical analysis ; Storage units</subject><ispartof>Electrical engineering, 2024, Vol.106 (4), p.4257-4275</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-adee965468ac2be0242d64e73d3fdb68bcc91f690db2f32d822e8eb4a87cc4083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00202-023-02222-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00202-023-02222-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Khokhar, Bhuvnesh</creatorcontrib><creatorcontrib>Singh Parmar, K. P.</creatorcontrib><title>Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach</title><title>Electrical engineering</title><addtitle>Electr Eng</addtitle><description>When considering the frequency stability issues brought on by load shifts in a microgrid (
μ
G) due to a significant integration of fluctuating renewable energy source-based generators and an inherent low inertia, energy storage units (ESUs) are unavoidable. The ESUs can immediately charge or discharge to make up for any shifts in load in the
μ
G since they react more quickly. This research investigates how a redox flow battery unit (RFBU) impacts the dynamic responses of a standalone
μ
G (S
μ
G) in this respect. As the secondary controller, an optimal intelligent model predictive control (iMPC) approach is presented. The cyclical parthenogenesis algorithm is implemented to improve the tuning parameter (
τ
w
) in the iMPC cost function to demonstrate an optimal performance of the recommended control approach. The effectiveness of the iMPC approach is contrasted with that of other well-known control approaches. The simulation findings clearly demonstrate the impact of RFBU integration in the S
μ
G and the capability of the recommended iMPC approach in terms of improved dynamic responses and their transient characteristics. As a consequence, the peak value of the S
μ
G dynamic response improves by 70.53%, and the settling time improves by 82.26%. The suggested control approach’s sensitivity to the S
μ
G parametric uncertainties is also justified. The closed-loop stability of the suggested approach is also established. The effectiveness of the proposed iMPC approach and the impact of the RFBU integration are then confirmed by statistical analysis.</description><subject>Algorithms</subject><subject>Closed loops</subject><subject>Control stability</subject><subject>Cost function</subject><subject>Distributed generation</subject><subject>Dynamic response</subject><subject>Economics and Management</subject><subject>Effectiveness</subject><subject>Electrical Engineering</subject><subject>Electrical loads</subject><subject>Electrical Machines and Networks</subject><subject>Energy Policy</subject><subject>Engineering</subject><subject>Flow stability</subject><subject>Frequency stability</subject><subject>Impact analysis</subject><subject>Original Paper</subject><subject>Parameter sensitivity</subject><subject>Power Electronics</subject><subject>Predictive control</subject><subject>Renewable energy sources</subject><subject>Statistical analysis</subject><subject>Storage units</subject><issn>0948-7921</issn><issn>1432-0487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLxDAQhYMouK7-AU8Bz9VpkrbpURZXhQUveg5pktYs3aSm6er6641W8GYghMl8b4b3ELrM4ToHqG5GAAIkA0LTTScrj9AiZzR9MV4dowXUjGdVTfJTdDaOWwCgRc0WaL8O5m0yTh1wMN3Uy2i9w9ZhiXdWBd8Fq1MZTRdSy3WJ0v4Dt71_x42M0YQDbg54ira3n9996bAfot3JHg-JtSravcHKuxh8j-UwBC_V6zk6aWU_movfd4le1nfPq4ds83T_uLrdZIpUEDOpjanLgpVcKtIYIIzokpmKatrqpuSNUnXeljXohrSUaE6I4aZhkldKMeB0ia7muWltsjlGsfVTcGmloFAXeQGU00SRmUqGxzGYVgwhOQgHkYP4zlfM-YqUr_jJV5RJRGfRmGDXmfA3-h_VFwm8gMs</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Khokhar, Bhuvnesh</creator><creator>Singh Parmar, K. P.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2024</creationdate><title>Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach</title><author>Khokhar, Bhuvnesh ; Singh Parmar, K. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-adee965468ac2be0242d64e73d3fdb68bcc91f690db2f32d822e8eb4a87cc4083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Closed loops</topic><topic>Control stability</topic><topic>Cost function</topic><topic>Distributed generation</topic><topic>Dynamic response</topic><topic>Economics and Management</topic><topic>Effectiveness</topic><topic>Electrical Engineering</topic><topic>Electrical loads</topic><topic>Electrical Machines and Networks</topic><topic>Energy Policy</topic><topic>Engineering</topic><topic>Flow stability</topic><topic>Frequency stability</topic><topic>Impact analysis</topic><topic>Original Paper</topic><topic>Parameter sensitivity</topic><topic>Power Electronics</topic><topic>Predictive control</topic><topic>Renewable energy sources</topic><topic>Statistical analysis</topic><topic>Storage units</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khokhar, Bhuvnesh</creatorcontrib><creatorcontrib>Singh Parmar, K. P.</creatorcontrib><collection>CrossRef</collection><jtitle>Electrical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khokhar, Bhuvnesh</au><au>Singh Parmar, K. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach</atitle><jtitle>Electrical engineering</jtitle><stitle>Electr Eng</stitle><date>2024</date><risdate>2024</risdate><volume>106</volume><issue>4</issue><spage>4257</spage><epage>4275</epage><pages>4257-4275</pages><issn>0948-7921</issn><eissn>1432-0487</eissn><abstract>When considering the frequency stability issues brought on by load shifts in a microgrid (
μ
G) due to a significant integration of fluctuating renewable energy source-based generators and an inherent low inertia, energy storage units (ESUs) are unavoidable. The ESUs can immediately charge or discharge to make up for any shifts in load in the
μ
G since they react more quickly. This research investigates how a redox flow battery unit (RFBU) impacts the dynamic responses of a standalone
μ
G (S
μ
G) in this respect. As the secondary controller, an optimal intelligent model predictive control (iMPC) approach is presented. The cyclical parthenogenesis algorithm is implemented to improve the tuning parameter (
τ
w
) in the iMPC cost function to demonstrate an optimal performance of the recommended control approach. The effectiveness of the iMPC approach is contrasted with that of other well-known control approaches. The simulation findings clearly demonstrate the impact of RFBU integration in the S
μ
G and the capability of the recommended iMPC approach in terms of improved dynamic responses and their transient characteristics. As a consequence, the peak value of the S
μ
G dynamic response improves by 70.53%, and the settling time improves by 82.26%. The suggested control approach’s sensitivity to the S
μ
G parametric uncertainties is also justified. The closed-loop stability of the suggested approach is also established. The effectiveness of the proposed iMPC approach and the impact of the RFBU integration are then confirmed by statistical analysis.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00202-023-02222-6</doi><tpages>19</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0948-7921 |
| ispartof | Electrical engineering, 2024, Vol.106 (4), p.4257-4275 |
| issn | 0948-7921 1432-0487 |
| language | eng |
| recordid | cdi_proquest_journals_3095150383 |
| source | Springer Nature - Complete Springer Journals |
| subjects | Algorithms Closed loops Control stability Cost function Distributed generation Dynamic response Economics and Management Effectiveness Electrical Engineering Electrical loads Electrical Machines and Networks Energy Policy Engineering Flow stability Frequency stability Impact analysis Original Paper Parameter sensitivity Power Electronics Predictive control Renewable energy sources Statistical analysis Storage units |
| title | Frequency regulation in a microgrid integrating redox flow battery by utilizing an optimal predictive control approach |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T14%3A20%3A09IST&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=Frequency%20regulation%20in%20a%20microgrid%20integrating%20redox%20flow%20battery%20by%20utilizing%20an%20optimal%20predictive%20control%20approach&rft.jtitle=Electrical%20engineering&rft.au=Khokhar,%20Bhuvnesh&rft.date=2024&rft.volume=106&rft.issue=4&rft.spage=4257&rft.epage=4275&rft.pages=4257-4275&rft.issn=0948-7921&rft.eissn=1432-0487&rft_id=info:doi/10.1007/s00202-023-02222-6&rft_dat=%3Cproquest_cross%3E3095150383%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=3095150383&rft_id=info:pmid/&rfr_iscdi=true |