Repository logo
 
Publication

Hour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy market

2022Journal article Open access
Simple item page
dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorAlmeida, José
dc.contributor.authorVale, Zita
dc.date.accessioned2022-12-21T11:37:29Z
dc.date.available2022-12-21T11:37:29Z
dc.date.issued2022
dc.description.abstractEnergy resource management is a concept that should be considered in energy systems due to the significant penetration of dispersed energy resources. Thus, the efficiency in the electrical network operation can be improved and the end-user costs reduced. In this way, an energy resource aggregator plays an important role in managing the demand and generation flexibility which is meant for small producers under market-oriented environments. This research paper presents an energy resource management in intraday (hour-ahead) time horizon considering local market transactions between players. The optimization model is formulated as mixed-integer linear programming and solved in a deterministic way. To exemplify the implementation of the proposed model, a realistic medium voltage distribution network with 180 buses, high penetration of distributed energy resources, energy storage systems, and electric vehicle charging stations is considered. The results show the impact of the forecast errors as well as the contractual constraints between the aggregator and energy storage systems and electric vehicle charging stations in the intraday 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 (CENERGETIC), CEECIND/02814/2017 (Joao Soares grant), and UIDB/000760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2022.02.253pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/21225
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationNot Available
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484722005005pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAggregatorpt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectEnergy resources managementpt_PT
dc.subjectLocal energy marketpt_PT
dc.subjectHour-aheadpt_PT
dc.subjectSmart distribution networkpt_PT
dc.titleHour-ahead energy resource scheduling optimization for smart power distribution networks considering local energy marketpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.citation.endPage582pt_PT
oaire.citation.startPage575pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume8pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
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.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication119ecfd0-1484-4157-911c-7632f2fc56c0
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isProjectOfPublication6615f0c1-4abc-48fc-ac0a-fce560b02403
relation.isProjectOfPublicationdb3e2edb-b8af-487a-b76a-f6790ac2d86e
relation.isProjectOfPublication7f9ebad6-9f7d-4225-8694-48de17ea8b51
relation.isProjectOfPublication.latestForDiscoverydb3e2edb-b8af-487a-b76a-f6790ac2d86e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ART_GECAD_2022.pdf
Size:
1.43 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ISEP – GECAD – Artigos