Publicação
Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation
| dc.contributor.author | Silva, Cátia | |
| dc.contributor.author | Faria, Pedro | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2021-02-23T17:53:00Z | |
| dc.date.available | 2021-02-23T17:53:00Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The stakeholders that belong to the energy market will have to adapt to the changes that the implementation of the concept of Smart Grid imposes. This concept requires new business models that include the demand response programs, the use of distributed generation and especially the remuneration that will be made for their contribution. The exposed methodology can be presented as a solution for virtual power players in this new challenge. Throughout this article, this methodology was tested regarding the remuneration of aggregate groups of distributed generation. It will also be analyzed the meaning of this tariff for both sides - aggregator and producers. | pt_PT |
| dc.description.sponsorship | The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); CONTEST Project (P2020 - 23575), and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1109/SmartGridComm.2018.8587438 | pt_PT |
| dc.identifier.isbn | 978-1-5386-7954-8 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/17096 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | P2020 - 23575 | pt_PT |
| dc.relation | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8587438 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Remuneration | pt_PT |
| dc.subject | Smart grid | pt_PT |
| dc.subject | Clustering | pt_PT |
| dc.subject | Distributed Generation | pt_PT |
| dc.title | Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/641794/EU | |
| oaire.citation.conferencePlace | Aalborg , Denmark | pt_PT |
| oaire.citation.endPage | 6 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) | pt_PT |
| oaire.fundingStream | 5876 | |
| oaire.fundingStream | H2020 | |
| person.familyName | Silva | |
| person.familyName | Faria | |
| person.familyName | Vale | |
| person.givenName | Cátia | |
| person.givenName | Pedro | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 5318-DCFD-218D | |
| person.identifier.ciencia-id | B212-2309-F9C3 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0001-8306-4568 | |
| person.identifier.orcid | 0000-0002-5982-8342 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 5eebf2bb-32f6-4593-a536-6db611d531e8 | |
| relation.isAuthorOfPublication | 35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6 | |
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