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Optimal Rescheduling of Distributed Energy Resources Managed by an Aggregator

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dc.contributor.authorSpínola, João
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-19T17:20:05Z
dc.date.available2021-02-19T17:20:05Z
dc.date.issued2017
dc.description.abstractDistributed energy resources integration into energy markets and power systems operation has been one of the main concerns of operators and other entities, mainly because of the recent growth and the features that these resources can provide. The need for managing tools that provide solutions to these concerns is evident, and can be addressed through several ways. The present paper proposes a model for the integration of distributed energy resources into power systems operation using an aggregator. The management considers the aggregator’s perspective, and therefore, the objective is to minimize the costs of system balance. For this, it is proposed a re-scheduling of resources, i.e. after a first scheduling with individual prices the resources are clustered, and for each group, a tariff is defined and applied to each of the resources that belong to it, being then scheduled again considering the new group tariffs.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); EUREKA - ITEA2 Project SEAS with project number 12004; NETEFFICITY Project (P2020 - 18015); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17064
dc.language.isoengpt_PT
dc.publisherUniversity of Salamancapt_PT
dc.relation.publisherversionhttp://dream-go.ipp.pt/PDF/DREAM-GO_2nd-Workshop_ProceedingsD7.3.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectAggregatorpt_PT
dc.subjectDemand responsept_PT
dc.subjectEnergy marketspt_PT
dc.subjectSmart gridpt_PT
dc.titleOptimal Rescheduling of Distributed Energy Resources Managed by an Aggregatorpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberUID/EEA/00760/2013
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceSalamanca, Spainpt_PT
oaire.citation.titleDREAM-GO 2nd Whorshop: Real-time demand response and intelligent direct load controlpt_PT
oaire.fundingStream5876
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isProjectOfPublication237af9d5-70ed-4e45-9f10-3853d860255e
relation.isProjectOfPublication.latestForDiscovery237af9d5-70ed-4e45-9f10-3853d860255e

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ISEP – GECAD – Comunicações em eventos científicos