Impact of P2P market transactions on distribution network congestion considering physical constraints

dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorBranco, José T. R. A.
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorOsório, Gerardo J.
dc.contributor.authorSantos, Sérgio F.
dc.date.accessioned2023-11-21T10:45:41Z
dc.date.available2023-11-21T10:45:41Z
dc.date.issued2023-09-27
dc.description.abstractThe novel trend of peer-to-peer (P2P) transactions has allowed traditional consumers to become prosumers, capable of maximizing the usage of their energy production by sharing it with their neighbors. Thus, the P2P market has emerged to allow both prosumers and consumers to trade energy independently from the conventional market. However, while local energy transactions will allow for a more open and decentralized grid, they will nevertheless have a significant impact on the planning, control and operation of distribution grids. Hence, in this paper, an improved model is presented to evaluate the impact of P2P transactions on distribution grid congestion, considering its restrictions and the uncertainty associated with renewable energy sources generation and load. The objective function has been modeled to minimize the transaction costs of each prosumer/consumer. The model was tested on a branch adapted from a 119-bus IEEE test grid, in which different operational scenarios have been considered through case studies, considering the various RES technologies and energy storage systems (ESS) installed by each prosumer/consumer. Comprehensive simulation results indicate that the introduction of smart grid enabling technologies and P2P transactions has led to both technical (voltage profile and grid congestion) and economic benefits for the distribution grid and its users.
dc.identifier.citationSantos, S. F., Branco, J. T. R. A., Osório, G. J., & Catalão, J. P. S. (2023). Impact of P2P market transactions on distribution network congestion considering physical constraints. In [proceedings of the] 2023 International Conference on Smart Energy Systems and Technologies (SEST), Mugla, Turkiye, 4-6 september 2023, (pp. 1-6). IEEE. 10.1109/SEST57387.2023.10257466. Repositório Institucional UPT. https://hdl.handle.net/11328/5221
dc.identifier.isbn979-8-3503-9790-1
dc.identifier.urihttps://hdl.handle.net/11328/5221
dc.language.isoeng
dc.publisherIEEE
dc.relation.hasversionhttps://doi.org/10.1109/SEST57387.2023.10257466
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDistribution Network Congestion
dc.subjectEnergy Community
dc.subjectRenewable Energy Sources
dc.subjectSmart Grid Enabling Technologies
dc.subjectVoltage Quality
dc.subjectPeer-to-Peer Transactions
dc.subject.fosEngenharia e Tecnologia - Outras Engenharias e Tecnologias
dc.titleImpact of P2P market transactions on distribution network congestion considering physical constraints
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2023-09-06
oaire.citation.conferencePlaceMugla, Turkiye
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title2023 International Conference on Smart Energy Systems and Technologies (SEST)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.familyNameOsório
person.familyNameSantos
person.givenNameGerardo J.
person.givenNameSérgio F.
person.identifier.ciencia-idBD19-D0AD-65DB
person.identifier.ciencia-idE41A-D6C6-E3D7
person.identifier.gsidt13DoaMAAAAJ
person.identifier.orcid0000-0001-8328-9708
person.identifier.orcid0000-0003-3277-2833
person.identifier.ridC-3616-2014
person.identifier.ridGNM-6353-2022
person.identifier.scopus-author-id54783251300
person.identifier.scopus-author-id56483358000
relation.isAuthorOfPublication7ce5da40-610d-4361-a87f-5cbdfe392256
relation.isAuthorOfPublicationd0a5755c-d682-4ead-bf2a-ce1ad6c63ede
relation.isAuthorOfPublication.latestForDiscovery7ce5da40-610d-4361-a87f-5cbdfe392256

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