Scheduling a smart energy hub‐based virtual power plant using benders decomposition to considering power system constraints
Summary In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy excha...
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| Veröffentlicht in: | International transactions on electrical energy systems 2018-10, Vol.28 (10), p.e2608-n/a |
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| container_title | International transactions on electrical energy systems |
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| creator | Gerami Moghaddam, Iman |
| description | Summary
In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy exchange with energy distribution networks and limitations of local distribution networks between energy hubs is done via VPP manager. In the presented model, energy hubs can be connected to each other via heat and electricity distribution networks. Using Benders decomposition, scheduling of this VPP is decomposed into a master problem and a slave problem. The master problem defines working points of energy hubs, and the slave problem considers the limitations of energy hubs. The proper performance of the presented model is verified using a case study, and the results are presented in detail. |
| doi_str_mv | 10.1002/etep.2608 |
| format | Article |
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In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy exchange with energy distribution networks and limitations of local distribution networks between energy hubs is done via VPP manager. In the presented model, energy hubs can be connected to each other via heat and electricity distribution networks. Using Benders decomposition, scheduling of this VPP is decomposed into a master problem and a slave problem. The master problem defines working points of energy hubs, and the slave problem considers the limitations of energy hubs. The proper performance of the presented model is verified using a case study, and the results are presented in detail.</description><identifier>ISSN: 2050-7038</identifier><identifier>EISSN: 2050-7038</identifier><identifier>DOI: 10.1002/etep.2608</identifier><language>eng</language><publisher>Hoboken: Hindawi Limited</publisher><subject>Benders decomposition ; Case studies ; Collaboration ; Constraint modelling ; Decomposition ; Electric power distribution ; Electric power generation ; Energy ; Energy distribution ; Energy management ; energy networks ; energy systems ; Feasibility ; Heat exchange ; Hubs ; Networks ; Power plants ; Scheduling ; smart energy hub ; virtual power plant ; Virtual power plants</subject><ispartof>International transactions on electrical energy systems, 2018-10, Vol.28 (10), p.e2608-n/a</ispartof><rights>Copyright © 2018 John Wiley & Sons, Ltd.</rights><rights>2018 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3328-2110c31954232d04dd8e337e0bc4d2e2f76f912223b46afbb160c6fe1bd1d44a3</citedby><cites>FETCH-LOGICAL-c3328-2110c31954232d04dd8e337e0bc4d2e2f76f912223b46afbb160c6fe1bd1d44a3</cites><orcidid>0000-0002-3947-9034</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%2Fetep.2608$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fetep.2608$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Gerami Moghaddam, Iman</creatorcontrib><title>Scheduling a smart energy hub‐based virtual power plant using benders decomposition to considering power system constraints</title><title>International transactions on electrical energy systems</title><description>Summary
In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy exchange with energy distribution networks and limitations of local distribution networks between energy hubs is done via VPP manager. In the presented model, energy hubs can be connected to each other via heat and electricity distribution networks. Using Benders decomposition, scheduling of this VPP is decomposed into a master problem and a slave problem. The master problem defines working points of energy hubs, and the slave problem considers the limitations of energy hubs. The proper performance of the presented model is verified using a case study, and the results are presented in detail.</description><subject>Benders decomposition</subject><subject>Case studies</subject><subject>Collaboration</subject><subject>Constraint modelling</subject><subject>Decomposition</subject><subject>Electric power distribution</subject><subject>Electric power generation</subject><subject>Energy</subject><subject>Energy distribution</subject><subject>Energy management</subject><subject>energy networks</subject><subject>energy systems</subject><subject>Feasibility</subject><subject>Heat exchange</subject><subject>Hubs</subject><subject>Networks</subject><subject>Power plants</subject><subject>Scheduling</subject><subject>smart energy hub</subject><subject>virtual power plant</subject><subject>Virtual power plants</subject><issn>2050-7038</issn><issn>2050-7038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kM1Kw0AQxxdRsNQefIMFTx5i9yNN0qOU-gEFBet52exO2pR0N-5uLDkIPoLP6JOYNB68OJcZmN9_Bn4IXVJyQwlhUwhQ37CEZCdoxMiMRCnh2emf-RxNvN-RruYxpWk2Qh8vagu6qUqzwRL7vXQBgwG3afG2yb8_v3LpQeP30oVGVri2B3C4rqQJuPF9KAejwXmsQdl9bX0ZSmtwsFhZ48tu1UNDzLc-wP64CE6WJvgLdFbIysPkt4_R691yvXiIVk_3j4vbVaQ4Z1nEKCWK0_ksZpxpEmudAecpkFzFmgEr0qSYU8YYz-NEFnlOE6KSAmiuqY5jycfoarhbO_vWgA9iZxtnupeCUdbpSAhPOup6oJSz3jsoRO3KzkgrKBG9YNELFr3gjp0O7KGsoP0fFMv18vmY-AFVQICj</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Gerami Moghaddam, Iman</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-3947-9034</orcidid></search><sort><creationdate>201810</creationdate><title>Scheduling a smart energy hub‐based virtual power plant using benders decomposition to considering power system constraints</title><author>Gerami Moghaddam, Iman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3328-2110c31954232d04dd8e337e0bc4d2e2f76f912223b46afbb160c6fe1bd1d44a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Benders decomposition</topic><topic>Case studies</topic><topic>Collaboration</topic><topic>Constraint modelling</topic><topic>Decomposition</topic><topic>Electric power distribution</topic><topic>Electric power generation</topic><topic>Energy</topic><topic>Energy distribution</topic><topic>Energy management</topic><topic>energy networks</topic><topic>energy systems</topic><topic>Feasibility</topic><topic>Heat exchange</topic><topic>Hubs</topic><topic>Networks</topic><topic>Power plants</topic><topic>Scheduling</topic><topic>smart energy hub</topic><topic>virtual power plant</topic><topic>Virtual power plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gerami Moghaddam, Iman</creatorcontrib><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>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International transactions on electrical energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gerami Moghaddam, Iman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scheduling a smart energy hub‐based virtual power plant using benders decomposition to considering power system constraints</atitle><jtitle>International transactions on electrical energy systems</jtitle><date>2018-10</date><risdate>2018</risdate><volume>28</volume><issue>10</issue><spage>e2608</spage><epage>n/a</epage><pages>e2608-n/a</pages><issn>2050-7038</issn><eissn>2050-7038</eissn><abstract>Summary
In this paper, a model is presented for scheduling of a virtual power plant (VPP) which consists of several energy hubs. With a collaborative management of energy hubs as a VPP, collaboration of energy hubs for supplying local loads is managed greatly. Furthermore, the amount of energy exchange with energy distribution networks and limitations of local distribution networks between energy hubs is done via VPP manager. In the presented model, energy hubs can be connected to each other via heat and electricity distribution networks. Using Benders decomposition, scheduling of this VPP is decomposed into a master problem and a slave problem. The master problem defines working points of energy hubs, and the slave problem considers the limitations of energy hubs. The proper performance of the presented model is verified using a case study, and the results are presented in detail.</abstract><cop>Hoboken</cop><pub>Hindawi Limited</pub><doi>10.1002/etep.2608</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-3947-9034</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International transactions on electrical energy systems, 2018-10, Vol.28 (10), p.e2608-n/a |
| issn | 2050-7038 2050-7038 |
| language | eng |
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| source | Access via Wiley Online Library |
| subjects | Benders decomposition Case studies Collaboration Constraint modelling Decomposition Electric power distribution Electric power generation Energy Energy distribution Energy management energy networks energy systems Feasibility Heat exchange Hubs Networks Power plants Scheduling smart energy hub virtual power plant Virtual power plants |
| title | Scheduling a smart energy hub‐based virtual power plant using benders decomposition to considering power system constraints |
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