Interruption flows for reliability evaluation of power distribution networks
Energy networks should strive for reliability. How can it be assessed, measured, and improved? What are the best trade-offs between investments and their worth? The flow-based framework for the reliability assessment of energy networks proposed in this paper addresses these questions with a focus on...
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| Veröffentlicht in: | Operational research 2023-03, Vol.23 (1), p.1-23, Article 4 |
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| creator | Usberti, Fábio Luiz Cavellucci, Celso Lyra, Christiano |
| description | Energy networks should strive for reliability. How can it be assessed, measured, and improved? What are the best trade-offs between investments and their worth? The flow-based framework for the reliability assessment of energy networks proposed in this paper addresses these questions with a focus on power distribution networks. The framework introduces the concept of
iflows
, or interruption flows, which translate the analytical reliability evaluation into solving a series of node balance equations computable in linear time. The
iflows
permeate the network, providing relevant information to support linear formulations of reliability optimization problems. Numerical examples showcase the evaluation process obtained through iflows in illustrative distribution networks with distributed generation. A new visual representation of the reliability state, called iflow diagram, provides insights into the most vulnerable regions of the network. The methodology was validated by a practical application of the iflows on the optimal allocation of switches in power distribution systems. Computational experiments were conducted using a benchmark of distribution networks, having up to 881 nodes. The results confirm the effectiveness of the approach in terms of providing high-quality information and optimal trade-offs to aid reliability decisions for energy networks. |
| doi_str_mv | 10.1007/s12351-023-00758-w |
| format | Article |
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iflows
, or interruption flows, which translate the analytical reliability evaluation into solving a series of node balance equations computable in linear time. The
iflows
permeate the network, providing relevant information to support linear formulations of reliability optimization problems. Numerical examples showcase the evaluation process obtained through iflows in illustrative distribution networks with distributed generation. A new visual representation of the reliability state, called iflow diagram, provides insights into the most vulnerable regions of the network. The methodology was validated by a practical application of the iflows on the optimal allocation of switches in power distribution systems. Computational experiments were conducted using a benchmark of distribution networks, having up to 881 nodes. The results confirm the effectiveness of the approach in terms of providing high-quality information and optimal trade-offs to aid reliability decisions for energy networks.</description><identifier>ISSN: 1109-2858</identifier><identifier>EISSN: 1866-1505</identifier><identifier>DOI: 10.1007/s12351-023-00758-w</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Business and Management ; Computational Intelligence ; Distributed generation ; Electric power distribution ; Energy ; Energy distribution ; Experiments ; Integer programming ; Interruption ; Management Science ; Methods ; Network reliability ; Operations Research ; Operations Research/Decision Theory ; Optimization ; Original Paper ; Power supply ; Reliability analysis ; Simulation ; Switches ; Tradeoffs</subject><ispartof>Operational research, 2023-03, Vol.23 (1), p.1-23, Article 4</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. 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-c327t-e801841fbab221c01f7a4bea9f7d87ff0e5317e0028d6044c8c140570491cce13</cites><orcidid>0000-0002-8972-080X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12351-023-00758-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12351-023-00758-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Usberti, Fábio Luiz</creatorcontrib><creatorcontrib>Cavellucci, Celso</creatorcontrib><creatorcontrib>Lyra, Christiano</creatorcontrib><title>Interruption flows for reliability evaluation of power distribution networks</title><title>Operational research</title><addtitle>Oper Res Int J</addtitle><description>Energy networks should strive for reliability. How can it be assessed, measured, and improved? What are the best trade-offs between investments and their worth? The flow-based framework for the reliability assessment of energy networks proposed in this paper addresses these questions with a focus on power distribution networks. The framework introduces the concept of
iflows
, or interruption flows, which translate the analytical reliability evaluation into solving a series of node balance equations computable in linear time. The
iflows
permeate the network, providing relevant information to support linear formulations of reliability optimization problems. Numerical examples showcase the evaluation process obtained through iflows in illustrative distribution networks with distributed generation. A new visual representation of the reliability state, called iflow diagram, provides insights into the most vulnerable regions of the network. The methodology was validated by a practical application of the iflows on the optimal allocation of switches in power distribution systems. Computational experiments were conducted using a benchmark of distribution networks, having up to 881 nodes. The results confirm the effectiveness of the approach in terms of providing high-quality information and optimal trade-offs to aid reliability decisions for energy networks.</description><subject>Business and Management</subject><subject>Computational Intelligence</subject><subject>Distributed generation</subject><subject>Electric power distribution</subject><subject>Energy</subject><subject>Energy distribution</subject><subject>Experiments</subject><subject>Integer programming</subject><subject>Interruption</subject><subject>Management Science</subject><subject>Methods</subject><subject>Network reliability</subject><subject>Operations Research</subject><subject>Operations Research/Decision Theory</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Power supply</subject><subject>Reliability analysis</subject><subject>Simulation</subject><subject>Switches</subject><subject>Tradeoffs</subject><issn>1109-2858</issn><issn>1866-1505</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kEtLxDAYRYMoOIzzB1wVXEfzpUmTLmXwMTDgRsFdSDOJZKxNTVrL_HvjVHBnNnmd-104CF0CuQZCxE0CWnLAhJY4X7nE0wlagKwqDJzw03wGUmMquTxHq5T2JK-SCsnkAm033WBjHPvBh65wbZhS4UIsom29bnzrh0Nhv3Q76iMQXNGHycZi59MQfTMeXzs7TCG-pwt05nSb7Op3X6KX-7vn9SPePj1s1rdbbHLtgK0kIBm4RjeUgiHghGaN1bUTOymcI5aXICwhVO4qwpiRBhjhgrAajLFQLtHVPLeP4XO0aVD7MMYuVyoqRCVFlsAzRWfKxJBStE710X_oeFBA1I84NYtTWZw6ilNTDhVzyJrQ-fQXkWX2BTV7zUg5Iyl_dm82_rX_M_gbIsR8eg</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Usberti, Fábio Luiz</creator><creator>Cavellucci, Celso</creator><creator>Lyra, Christiano</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K8~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8972-080X</orcidid></search><sort><creationdate>20230301</creationdate><title>Interruption flows for reliability evaluation of power distribution networks</title><author>Usberti, Fábio Luiz ; Cavellucci, Celso ; Lyra, Christiano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-e801841fbab221c01f7a4bea9f7d87ff0e5317e0028d6044c8c140570491cce13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Business and Management</topic><topic>Computational Intelligence</topic><topic>Distributed generation</topic><topic>Electric power distribution</topic><topic>Energy</topic><topic>Energy distribution</topic><topic>Experiments</topic><topic>Integer programming</topic><topic>Interruption</topic><topic>Management Science</topic><topic>Methods</topic><topic>Network reliability</topic><topic>Operations Research</topic><topic>Operations Research/Decision Theory</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Power supply</topic><topic>Reliability analysis</topic><topic>Simulation</topic><topic>Switches</topic><topic>Tradeoffs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Usberti, Fábio Luiz</creatorcontrib><creatorcontrib>Cavellucci, Celso</creatorcontrib><creatorcontrib>Lyra, Christiano</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Usberti, Fábio Luiz</au><au>Cavellucci, Celso</au><au>Lyra, Christiano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interruption flows for reliability evaluation of power distribution networks</atitle><jtitle>Operational research</jtitle><stitle>Oper Res Int J</stitle><date>2023-03-01</date><risdate>2023</risdate><volume>23</volume><issue>1</issue><spage>1</spage><epage>23</epage><pages>1-23</pages><artnum>4</artnum><issn>1109-2858</issn><eissn>1866-1505</eissn><abstract>Energy networks should strive for reliability. How can it be assessed, measured, and improved? What are the best trade-offs between investments and their worth? The flow-based framework for the reliability assessment of energy networks proposed in this paper addresses these questions with a focus on power distribution networks. The framework introduces the concept of
iflows
, or interruption flows, which translate the analytical reliability evaluation into solving a series of node balance equations computable in linear time. The
iflows
permeate the network, providing relevant information to support linear formulations of reliability optimization problems. Numerical examples showcase the evaluation process obtained through iflows in illustrative distribution networks with distributed generation. A new visual representation of the reliability state, called iflow diagram, provides insights into the most vulnerable regions of the network. The methodology was validated by a practical application of the iflows on the optimal allocation of switches in power distribution systems. Computational experiments were conducted using a benchmark of distribution networks, having up to 881 nodes. The results confirm the effectiveness of the approach in terms of providing high-quality information and optimal trade-offs to aid reliability decisions for energy networks.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12351-023-00758-w</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-8972-080X</orcidid></addata></record> |
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| subjects | Business and Management Computational Intelligence Distributed generation Electric power distribution Energy Energy distribution Experiments Integer programming Interruption Management Science Methods Network reliability Operations Research Operations Research/Decision Theory Optimization Original Paper Power supply Reliability analysis Simulation Switches Tradeoffs |
| title | Interruption flows for reliability evaluation of power distribution networks |
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