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Consumers modelling and clustering for the use of flexibility to mitigate network congestion

dc.contributor.authorTerras, José M.
dc.contributor.authorSilva, Cátia
dc.contributor.authorVale, Zita
dc.contributor.authorFaria, Pedro
dc.date.accessioned2021-09-17T10:18:35Z
dc.date.available2021-09-17T10:18:35Z
dc.date.issued2020-09
dc.description.abstractThis paper offers an overview of the H2020 DOMINOES project that conceives the study of implementation of a platform to incentivize demand response (DR) and participation in local energy markets. A novel approach of categorizing consumers is tested, grouping consumers according to their frequency of response to the flexibility needs. This methodology will allow to have new insights into the flexibility activation process, with focus on the process of encourage and engaging repeated participation of different consumers with different characteristics, preferences and needs. With this new approach, the activation process is adaptive targeting consumers with specific response categorization in order to obtain the required response reliability to meet market requests or grid needs. In terms of the grid supervisors, the impact of such methodology will allow DSOs to adapt and fine tune strategies for consumer targeting and address the individual or aggregated consumers that have high response rates and/or are easily responsive to incentives or have common interests or are keen to be market and system participative. This paper presents the DOMINOES project advances in the study of new, adaptative and non-intrusive scenarios of consumers classification that induce consumer participation, and develop the flexibility market, without ignoring the DSO´s market neutrality.pt_PT
dc.description.sponsorshipThis paper is the result of an integrative and collaborative partnership between the GECAD Research Group from the Polytechnic of Porto (ISEP/IPP) and EDP Distribuição – Energia S.A. developed within the Horizon 2020 Project DOMINOES (grant agreement No771066). The present work was done and funded in the scope of the following projects: UIDB/00760/2020, CEECIND/02887/2017, and SFRH/BD/144200/2019 supported by national funds through FCT. The consumers´ data used in this study are 100% anonymized, being all of the content associated with confidential and sensitive content compliant with the Regulation (EU) 2016/679 – General Data Protection Regulation – and other laws and regulations applicable to the electricity sector. Nevertheless, the anonymized data content associated with this study is subject of elimination until the end of the DOMINOES project, on 31st of March of 2021pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1049/oap-cired.2021.0059
dc.identifier.urihttp://hdl.handle.net/10400.22/18393
dc.language.isoengpt_PT
dc.publisherIETpt_PT
dc.relationSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
dc.relation.publisherversionhttps://digital-library.theiet.org/content/journals/10.1049/oap-cired.2021.0059pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectFlexibilitypt_PT
dc.subjectHouseholdspt_PT
dc.subjectConsumerspt_PT
dc.subjectClusteringpt_PT
dc.subjectDemand Responsept_PT
dc.titleConsumers modelling and clustering for the use of flexibility to mitigate network congestionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/771066/EU
oaire.citation.conferencePlaceBerlin, Germanypt_PT
oaire.citation.titleCIRED 2020 Berlin Workshop Online (CIRED 2020)pt_PT
oaire.fundingStreamH2020
person.familyNameVale
person.familyNameFaria
person.givenNameZita
person.givenNamePedro
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-5982-8342
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isProjectOfPublication166b0a9d-d964-4026-9532-601559959486
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