Multi-Year Planning of a Rural Microgrid Considering Storage Degradation
Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative mul...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on power systems 2021-03, Vol.36 (2), p.1459-1469 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1469 |
|---|---|
| container_issue | 2 |
| container_start_page | 1459 |
| container_title | IEEE transactions on power systems |
| container_volume | 36 |
| creator | Petrelli, Marina Fioriti, Davide Berizzi, Alberto Poli, Davide |
| description | Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative multi-year mixed-integer linear programming (MILP) optimization, in which power-dependent efficiency and capacity degradation of storage as functions of the operative strategy are considered. In this study, the computational burden of such a large problem is significantly reduced by means of an external loop that accounts for the hourly storage efficiency and residual capacity and serves to update the parameters for the MILP optimization of the following iteration. This approach is tested on a case study of a community in Soroti, in central-eastern Uganda. Comparison with the output of a one-shot MILP and with a procedure that overlooks the effects of the dispatching strategy on storage characteristics is shown, highlighting the benefits gained with the proposed algorithm in terms of both simulation time and accuracy of the design. |
| doi_str_mv | 10.1109/TPWRS.2020.3020219 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TPWRS_2020_3020219</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9180005</ieee_id><sourcerecordid>2492858706</sourcerecordid><originalsourceid>FETCH-LOGICAL-c339t-34493becf8c200252e81dc6b5bfaef2fe43358ac7474bd3e4a98489dd43f22453</originalsourceid><addsrcrecordid>eNo9kE1PwzAMhiMEEmPwB-BSiXNHPtvkiAZjSJuYtiHEKUpbp8pUmpG2B_49GZu42Ae_j209CN0SPCEEq4ft6mO9mVBM8YTFQok6QyMihExxlqtzNMJSilQqgS_RVdftMMZZHIzQfDk0vUs_wYRk1Zi2dW2deJuYZD0E0yRLVwZfB1clU992roJwCGx6H0wNyRPUwVSmd769RhfWNB3cnPoYvc-et9N5unh7eZ0-LtKSMdWnjHPFCiitLCnGVFCQpCqzQhTWgKUWOGNCmjLnOS8qBtwoyaWqKs4spVywMbo_7t0H_z1A1-udH0IbT2rKFZVC5jiLKXpMxe-7LoDV--C-TPjRBOuDMf1nTB-M6ZOxCN0dIQcA_4AiMtoS7BcPnGck</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2492858706</pqid></control><display><type>article</type><title>Multi-Year Planning of a Rural Microgrid Considering Storage Degradation</title><source>IEEE Electronic Library (IEL)</source><creator>Petrelli, Marina ; Fioriti, Davide ; Berizzi, Alberto ; Poli, Davide</creator><creatorcontrib>Petrelli, Marina ; Fioriti, Davide ; Berizzi, Alberto ; Poli, Davide</creatorcontrib><description>Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative multi-year mixed-integer linear programming (MILP) optimization, in which power-dependent efficiency and capacity degradation of storage as functions of the operative strategy are considered. In this study, the computational burden of such a large problem is significantly reduced by means of an external loop that accounts for the hourly storage efficiency and residual capacity and serves to update the parameters for the MILP optimization of the following iteration. This approach is tested on a case study of a community in Soroti, in central-eastern Uganda. Comparison with the output of a one-shot MILP and with a procedure that overlooks the effects of the dispatching strategy on storage characteristics is shown, highlighting the benefits gained with the proposed algorithm in terms of both simulation time and accuracy of the design.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2020.3020219</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Batteries ; Capacity planning ; Degradation ; Distributed generation ; Indexes ; Integer programming ; Iterative methods ; Linear programming ; Microgrid planning ; Microgrids ; MILP ; Mixed integer ; multi-year optimization ; Optimization ; Planning ; Profitability ; rural electrification ; storage degradation ; Strategy</subject><ispartof>IEEE transactions on power systems, 2021-03, Vol.36 (2), p.1459-1469</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-34493becf8c200252e81dc6b5bfaef2fe43358ac7474bd3e4a98489dd43f22453</citedby><cites>FETCH-LOGICAL-c339t-34493becf8c200252e81dc6b5bfaef2fe43358ac7474bd3e4a98489dd43f22453</cites><orcidid>0000-0002-2856-783X ; 0000-0002-5045-9034 ; 0000-0003-4747-0782 ; 0000-0001-5491-7912</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9180005$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9180005$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Petrelli, Marina</creatorcontrib><creatorcontrib>Fioriti, Davide</creatorcontrib><creatorcontrib>Berizzi, Alberto</creatorcontrib><creatorcontrib>Poli, Davide</creatorcontrib><title>Multi-Year Planning of a Rural Microgrid Considering Storage Degradation</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative multi-year mixed-integer linear programming (MILP) optimization, in which power-dependent efficiency and capacity degradation of storage as functions of the operative strategy are considered. In this study, the computational burden of such a large problem is significantly reduced by means of an external loop that accounts for the hourly storage efficiency and residual capacity and serves to update the parameters for the MILP optimization of the following iteration. This approach is tested on a case study of a community in Soroti, in central-eastern Uganda. Comparison with the output of a one-shot MILP and with a procedure that overlooks the effects of the dispatching strategy on storage characteristics is shown, highlighting the benefits gained with the proposed algorithm in terms of both simulation time and accuracy of the design.</description><subject>Algorithms</subject><subject>Batteries</subject><subject>Capacity planning</subject><subject>Degradation</subject><subject>Distributed generation</subject><subject>Indexes</subject><subject>Integer programming</subject><subject>Iterative methods</subject><subject>Linear programming</subject><subject>Microgrid planning</subject><subject>Microgrids</subject><subject>MILP</subject><subject>Mixed integer</subject><subject>multi-year optimization</subject><subject>Optimization</subject><subject>Planning</subject><subject>Profitability</subject><subject>rural electrification</subject><subject>storage degradation</subject><subject>Strategy</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwzAMhiMEEmPwB-BSiXNHPtvkiAZjSJuYtiHEKUpbp8pUmpG2B_49GZu42Ae_j209CN0SPCEEq4ft6mO9mVBM8YTFQok6QyMihExxlqtzNMJSilQqgS_RVdftMMZZHIzQfDk0vUs_wYRk1Zi2dW2deJuYZD0E0yRLVwZfB1clU992roJwCGx6H0wNyRPUwVSmd769RhfWNB3cnPoYvc-et9N5unh7eZ0-LtKSMdWnjHPFCiitLCnGVFCQpCqzQhTWgKUWOGNCmjLnOS8qBtwoyaWqKs4spVywMbo_7t0H_z1A1-udH0IbT2rKFZVC5jiLKXpMxe-7LoDV--C-TPjRBOuDMf1nTB-M6ZOxCN0dIQcA_4AiMtoS7BcPnGck</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Petrelli, Marina</creator><creator>Fioriti, Davide</creator><creator>Berizzi, Alberto</creator><creator>Poli, Davide</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/0000-0002-2856-783X</orcidid><orcidid>https://orcid.org/0000-0002-5045-9034</orcidid><orcidid>https://orcid.org/0000-0003-4747-0782</orcidid><orcidid>https://orcid.org/0000-0001-5491-7912</orcidid></search><sort><creationdate>202103</creationdate><title>Multi-Year Planning of a Rural Microgrid Considering Storage Degradation</title><author>Petrelli, Marina ; Fioriti, Davide ; Berizzi, Alberto ; Poli, Davide</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-34493becf8c200252e81dc6b5bfaef2fe43358ac7474bd3e4a98489dd43f22453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Batteries</topic><topic>Capacity planning</topic><topic>Degradation</topic><topic>Distributed generation</topic><topic>Indexes</topic><topic>Integer programming</topic><topic>Iterative methods</topic><topic>Linear programming</topic><topic>Microgrid planning</topic><topic>Microgrids</topic><topic>MILP</topic><topic>Mixed integer</topic><topic>multi-year optimization</topic><topic>Optimization</topic><topic>Planning</topic><topic>Profitability</topic><topic>rural electrification</topic><topic>storage degradation</topic><topic>Strategy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Petrelli, Marina</creatorcontrib><creatorcontrib>Fioriti, Davide</creatorcontrib><creatorcontrib>Berizzi, Alberto</creatorcontrib><creatorcontrib>Poli, Davide</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 systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Petrelli, Marina</au><au>Fioriti, Davide</au><au>Berizzi, Alberto</au><au>Poli, Davide</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Year Planning of a Rural Microgrid Considering Storage Degradation</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2021-03</date><risdate>2021</risdate><volume>36</volume><issue>2</issue><spage>1459</spage><epage>1469</epage><pages>1459-1469</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>Microgrids play a pivotal role in the attempts to achieve universal access to electricity; hence, their accurate planning, which also includes the evolution of the system over the project lifetime, is essential for maximizing the profitability of the investments. This paper proposes an iterative multi-year mixed-integer linear programming (MILP) optimization, in which power-dependent efficiency and capacity degradation of storage as functions of the operative strategy are considered. In this study, the computational burden of such a large problem is significantly reduced by means of an external loop that accounts for the hourly storage efficiency and residual capacity and serves to update the parameters for the MILP optimization of the following iteration. This approach is tested on a case study of a community in Soroti, in central-eastern Uganda. Comparison with the output of a one-shot MILP and with a procedure that overlooks the effects of the dispatching strategy on storage characteristics is shown, highlighting the benefits gained with the proposed algorithm in terms of both simulation time and accuracy of the design.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2020.3020219</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2856-783X</orcidid><orcidid>https://orcid.org/0000-0002-5045-9034</orcidid><orcidid>https://orcid.org/0000-0003-4747-0782</orcidid><orcidid>https://orcid.org/0000-0001-5491-7912</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0885-8950 |
| ispartof | IEEE transactions on power systems, 2021-03, Vol.36 (2), p.1459-1469 |
| issn | 0885-8950 1558-0679 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TPWRS_2020_3020219 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Batteries Capacity planning Degradation Distributed generation Indexes Integer programming Iterative methods Linear programming Microgrid planning Microgrids MILP Mixed integer multi-year optimization Optimization Planning Profitability rural electrification storage degradation Strategy |
| title | Multi-Year Planning of a Rural Microgrid Considering Storage Degradation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T16%3A49%3A44IST&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=Multi-Year%20Planning%20of%20a%20Rural%20Microgrid%20Considering%20Storage%20Degradation&rft.jtitle=IEEE%20transactions%20on%20power%20systems&rft.au=Petrelli,%20Marina&rft.date=2021-03&rft.volume=36&rft.issue=2&rft.spage=1459&rft.epage=1469&rft.pages=1459-1469&rft.issn=0885-8950&rft.eissn=1558-0679&rft.coden=ITPSEG&rft_id=info:doi/10.1109/TPWRS.2020.3020219&rft_dat=%3Cproquest_RIE%3E2492858706%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=2492858706&rft_id=info:pmid/&rft_ieee_id=9180005&rfr_iscdi=true |