Publication
Dynamic remuneration of electricity consumers flexibility
| dc.contributor.author | Ribeiro, Catarina | |
| dc.contributor.author | Pinto, Tiago | |
| dc.contributor.author | Vale, Zita | |
| dc.contributor.author | Baptista, José | |
| dc.date.accessioned | 2023-02-01T15:45:00Z | |
| dc.date.available | 2023-02-01T15:45:00Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | This paper proposes a decision support model to define electricity consumers’ remuneration structures when providing consumption flexibility, optimized for different load regimes. The proposed model addresses the remuneration of consumers when participating in demand response programs, benefiting or penalizing those who adjust their consumption when needed. The model defines dynamic remuneration values with different natures for the aggregator (e.g. flexibility aggregator or curtailment service provider) and for the consumer. The preferences and perspective of both are considered, by incorporating variables that represent the energy price, the energy production and the flexibility of consumers. The validation is performed using real data from the Iberian market, and results enable to conclude that the proposed model adapts the remuneration values in a way that it is increased according to the consumers’ elastic, while being reduced when the generation is higher. Consequently, the model boosts the active consumer participation when flexibility is required, while reaching a solution that represents an acceptable g tradeoff between the aggregators and the consumers. | pt_PT |
| dc.description.sponsorship | This work has received funding from the EU Horizon 2020 research and innovation program under project TradeRES (grant agreement No 864276). The work has been done also in the scope of project UIDB/00760/2020, and CEECIND/01811/2017, financed by FEDER Funds through COMPETE program and from National Funds through (FCT). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.egyr.2022.04.056 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/22080 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | Tools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems | |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation | Not Available | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2352484722008216?via%3Dihub | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Data mining | pt_PT |
| dc.subject | Decision support systems | pt_PT |
| dc.subject | Demand response | pt_PT |
| dc.subject | Dynamic pricing | pt_PT |
| dc.subject | Load profiling | pt_PT |
| dc.title | Dynamic remuneration of electricity consumers flexibility | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Tools for the Design and modelling of new markets and negotiation mechanisms for a ~100% Renewable European Power Systems | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardTitle | Not Available | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/864276/EU | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F01811%2F2017%2FCP1417%2FCT0001/PT | |
| oaire.citation.endPage | 627 | pt_PT |
| oaire.citation.startPage | 623 | pt_PT |
| oaire.citation.title | Energy Reports | pt_PT |
| oaire.citation.volume | 8 | pt_PT |
| oaire.fundingStream | H2020 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | CEEC IND 2017 | |
| person.familyName | Pinto | |
| person.familyName | Vale | |
| person.givenName | Tiago | |
| person.givenName | Zita | |
| person.identifier | R-000-T7J | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 2414-9B03-C4BB | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0001-8248-080X | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | T-2245-2018 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 35219107600 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | European Commission | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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