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Study of Multi-Tariff Influence on the Distributed Generation Remuneration

dc.contributor.authorSilva, Cátia
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-23T13:39:55Z
dc.date.available2021-09-23T13:39:55Z
dc.date.issued2019
dc.description.abstractThe energy market, with the introduction of the smart grids concept, opens the door to small distributed energy resources. However, these resources introduce an added level of difficulty to market management, requiring an entity to aggregate and manage them optimally. This paper proposes an approach that integrates these small resources. The methodology is composed of optimal scheduling, aggregation and remuneration based on aggregation. The method chosen for aggregation is k-means. In relation to previous works, the innovation goes through the multi-period and the comparison that this can have in the formation of groups. Thus, three scenarios were created: Whole Week, Work Days and Weekend. Profiles were added for 548 units of DG. The justification for the formation of groups will be a fairer remuneration and according to the contribution of each resource to the management of the network.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: COLORS Project PTDC/EEI-EEE/28967/2017 and UID/EEA/00760/2019 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.doi10.1007/978-3-030-23946-6_2pt_PT
dc.identifier.isbn978-3-030-23946-6
dc.identifier.urihttp://hdl.handle.net/10400.22/18510
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-23946-6_2pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAggregationpt_PT
dc.subjectClusteringpt_PT
dc.subjectDistributed generationpt_PT
dc.titleStudy of Multi-Tariff Influence on the Distributed Generation Remunerationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleCOLORS - CONTEXTUAL LOAD FLEXIBILITY REMUNERATION STRATEGIES
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28967%2F2017/PT
oaire.citation.conferencePlaceÁvila, Spainpt_PT
oaire.citation.endPage19pt_PT
oaire.citation.startPage14pt_PT
oaire.citation.titleInternational Symposium on Distributed Computing and Artificial Intelligence (DCAI 2019)pt_PT
oaire.citation.volume1004pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream9471 - RIDTI
person.familyNameSilva
person.familyNameFaria
person.familyNameVale
person.givenNameCátia
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id5318-DCFD-218D
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8306-4568
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.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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