Effective Dynamic Scheduling of Reconfigurable Microgrids
This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting mic...
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| Veröffentlicht in: | IEEE transactions on power systems 2018-09, Vol.33 (5), p.5519-5530 |
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| container_title | IEEE transactions on power systems |
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| creator | Kavousi-Fard, Abdollah Zare, Alireza Khodaei, Amin |
| description | This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting microgrid economic objectives) and to reduce potential load curtailments during the islanded operation (supporting microgrid reliability objectives). The proposed optimal scheduling model is decomposed into a grid-connected operation master problem and an islanded operation subproblem. A novel and highly accurate dynamic linear power flow model, with the ability of line switching, is developed and included in both problems. The optimal schedule determined in the master problem is assessed to meet the microgrid islanding feasibility in the subproblem. If infeasible, the decision variables are amended using the islanding cuts, which will accordingly revise the network reconfiguration, as well as the schedule of dispatchable units, energy storage, and adjustable loads. The simulation results on a test microgrid demonstrate the effectiveness and satisfying performance of the proposed model. |
| doi_str_mv | 10.1109/TPWRS.2018.2819942 |
| format | Article |
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Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting microgrid economic objectives) and to reduce potential load curtailments during the islanded operation (supporting microgrid reliability objectives). The proposed optimal scheduling model is decomposed into a grid-connected operation master problem and an islanded operation subproblem. A novel and highly accurate dynamic linear power flow model, with the ability of line switching, is developed and included in both problems. The optimal schedule determined in the master problem is assessed to meet the microgrid islanding feasibility in the subproblem. If infeasible, the decision variables are amended using the islanding cuts, which will accordingly revise the network reconfiguration, as well as the schedule of dispatchable units, energy storage, and adjustable loads. The simulation results on a test microgrid demonstrate the effectiveness and satisfying performance of the proposed model.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2018.2819942</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Computational modeling ; Computer simulation ; distributed energy resources ; Distributed generation ; distribution network reconfiguration ; Electric power distribution ; Electric power grids ; Electric power systems ; Energy storage ; Feasibility studies ; Job shops ; Load modeling ; Microgrid optimal scheduling ; Microgrids ; Optimal scheduling ; Power flow ; Production scheduling ; Reconfigurable architectures ; Reconfiguration ; Reliability ; Schedules ; Scheduling</subject><ispartof>IEEE transactions on power systems, 2018-09, Vol.33 (5), p.5519-5530</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-797f7013c03a96210985c80160f35f4a3197501d5d4a474d83870e322968ee023</citedby><cites>FETCH-LOGICAL-c295t-797f7013c03a96210985c80160f35f4a3197501d5d4a474d83870e322968ee023</cites><orcidid>0000-0002-3725-400X ; 0000-0003-3308-5568 ; 0000-0002-5766-1120</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8325529$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8325529$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kavousi-Fard, Abdollah</creatorcontrib><creatorcontrib>Zare, Alireza</creatorcontrib><creatorcontrib>Khodaei, Amin</creatorcontrib><title>Effective Dynamic Scheduling of Reconfigurable Microgrids</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting microgrid economic objectives) and to reduce potential load curtailments during the islanded operation (supporting microgrid reliability objectives). The proposed optimal scheduling model is decomposed into a grid-connected operation master problem and an islanded operation subproblem. A novel and highly accurate dynamic linear power flow model, with the ability of line switching, is developed and included in both problems. The optimal schedule determined in the master problem is assessed to meet the microgrid islanding feasibility in the subproblem. If infeasible, the decision variables are amended using the islanding cuts, which will accordingly revise the network reconfiguration, as well as the schedule of dispatchable units, energy storage, and adjustable loads. The simulation results on a test microgrid demonstrate the effectiveness and satisfying performance of the proposed model.</description><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>distributed energy resources</subject><subject>Distributed generation</subject><subject>distribution network reconfiguration</subject><subject>Electric power distribution</subject><subject>Electric power grids</subject><subject>Electric power systems</subject><subject>Energy storage</subject><subject>Feasibility studies</subject><subject>Job shops</subject><subject>Load modeling</subject><subject>Microgrid optimal scheduling</subject><subject>Microgrids</subject><subject>Optimal scheduling</subject><subject>Power flow</subject><subject>Production scheduling</subject><subject>Reconfigurable architectures</subject><subject>Reconfiguration</subject><subject>Reliability</subject><subject>Schedules</subject><subject>Scheduling</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFOAjEQhhujiYi-gF428bw4bbfbztEgqAlGAxiPTe22WAK72LImvL2LEE9zmP-b-fMRck1hQCng3fztYzobMKBqwBRFLNgJ6VEhVA6lxFPSA6VErlDAOblIaQkAZbfoERx57-w2_LjsYVebdbDZzH65ql2FepE1Pps629Q-LNpoPlcuewk2NosYqnRJzrxZJXd1nH3yPh7Nh0_55PXxeXg_yS1Dsc0lSi-BcgvcYMm6skpYBbQEz4UvDKcoBdBKVIUpZFEpriQ4zhiWyjlgvE9uD3c3sfluXdrqZdPGunupGaBAIVHxLsUOqa5eStF5vYlhbeJOU9B7RfpPkd4r0kdFHXRzgIJz7h9QnAnBkP8Caj5gSw</recordid><startdate>201809</startdate><enddate>201809</enddate><creator>Kavousi-Fard, Abdollah</creator><creator>Zare, Alireza</creator><creator>Khodaei, Amin</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/0000-0002-3725-400X</orcidid><orcidid>https://orcid.org/0000-0003-3308-5568</orcidid><orcidid>https://orcid.org/0000-0002-5766-1120</orcidid></search><sort><creationdate>201809</creationdate><title>Effective Dynamic Scheduling of Reconfigurable Microgrids</title><author>Kavousi-Fard, Abdollah ; Zare, Alireza ; Khodaei, Amin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-797f7013c03a96210985c80160f35f4a3197501d5d4a474d83870e322968ee023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computational modeling</topic><topic>Computer simulation</topic><topic>distributed energy resources</topic><topic>Distributed generation</topic><topic>distribution network reconfiguration</topic><topic>Electric power distribution</topic><topic>Electric power grids</topic><topic>Electric power systems</topic><topic>Energy storage</topic><topic>Feasibility studies</topic><topic>Job shops</topic><topic>Load modeling</topic><topic>Microgrid optimal scheduling</topic><topic>Microgrids</topic><topic>Optimal scheduling</topic><topic>Power flow</topic><topic>Production scheduling</topic><topic>Reconfigurable architectures</topic><topic>Reconfiguration</topic><topic>Reliability</topic><topic>Schedules</topic><topic>Scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kavousi-Fard, Abdollah</creatorcontrib><creatorcontrib>Zare, Alireza</creatorcontrib><creatorcontrib>Khodaei, Amin</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>Kavousi-Fard, Abdollah</au><au>Zare, Alireza</au><au>Khodaei, Amin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effective Dynamic Scheduling of Reconfigurable Microgrids</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2018-09</date><risdate>2018</risdate><volume>33</volume><issue>5</issue><spage>5519</spage><epage>5530</epage><pages>5519-5530</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected operation (supporting microgrid economic objectives) and to reduce potential load curtailments during the islanded operation (supporting microgrid reliability objectives). The proposed optimal scheduling model is decomposed into a grid-connected operation master problem and an islanded operation subproblem. A novel and highly accurate dynamic linear power flow model, with the ability of line switching, is developed and included in both problems. The optimal schedule determined in the master problem is assessed to meet the microgrid islanding feasibility in the subproblem. If infeasible, the decision variables are amended using the islanding cuts, which will accordingly revise the network reconfiguration, as well as the schedule of dispatchable units, energy storage, and adjustable loads. The simulation results on a test microgrid demonstrate the effectiveness and satisfying performance of the proposed model.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2018.2819942</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-3725-400X</orcidid><orcidid>https://orcid.org/0000-0003-3308-5568</orcidid><orcidid>https://orcid.org/0000-0002-5766-1120</orcidid></addata></record> |
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| ispartof | IEEE transactions on power systems, 2018-09, Vol.33 (5), p.5519-5530 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Computational modeling Computer simulation distributed energy resources Distributed generation distribution network reconfiguration Electric power distribution Electric power grids Electric power systems Energy storage Feasibility studies Job shops Load modeling Microgrid optimal scheduling Microgrids Optimal scheduling Power flow Production scheduling Reconfigurable architectures Reconfiguration Reliability Schedules Scheduling |
| title | Effective Dynamic Scheduling of Reconfigurable Microgrids |
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