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Energy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizon

2021Conference object Open access
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dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorAlmeida, José
dc.contributor.authorParis, Wanderley
dc.contributor.authorVale, Zita
dc.date.accessioned2023-03-14T10:29:20Z
dc.date.available2023-03-14T10:29:20Z
dc.date.issued2021
dc.description.abstractAs the use of renewable energy sources grows, the energy aggregator company plays an increasingly significant role in ensuring extremely flexible supply and demand, as requested by the smart grid architecture. This study presents a model for the problem of intraday energy resource scheduling (hour-ahead). The model is solved using the CPLEX solver and is developed as mixed integer linear programming. A distribution network with 180 buses located in Portugal considering high distributed energy resources penetration is used to demonstrate the application of the proposed model. The findings indicate how forecast errors and contractual restrictions with energy storage systems and electric car charging stations affect hour-ahead scheduling costs.pt_PT
dc.description.sponsorshipThis research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020) and National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENER-GETIC), CEECIND/02814/2017 (Joao Soares grant), and UIDB/000760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISGTEurope52324.2021.9640101pt_PT
dc.identifier.isbn978-1-6654-4875-8
dc.identifier.urihttp://hdl.handle.net/10400.22/22470
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationUIDB/000760/2020pt_PT
dc.relationNot Available
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9640101pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAggregatorpt_PT
dc.subjectDistribution networkpt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectEnergy resources managementpt_PT
dc.subjectEnergy storage systemspt_PT
dc.subjectHour- aheadpt_PT
dc.subjectSmart gridpt_PT
dc.titleEnergy Resource Scheduling Optimization for Smart Power Distribution Grids - Hour-Ahead Horizonpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.citation.conferencePlaceEspoo, Finlandpt_PT
oaire.citation.endPage06pt_PT
oaire.citation.startPage01pt_PT
oaire.citation.title2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamCEEC IND 2017
person.familyNameCanizes
person.familyNameSoares
person.familyNameAlmeida
person.familyNameVale
person.givenNameBruno
person.givenNameJoão
person.givenNameJosé
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-idC017-775D-9F55
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-9504-0501
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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