Blockchain-based transactive energy framework for connected virtual power plants

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dc.contributor.authorGough, Matthew
dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorAlmeida, A.
dc.contributor.authorLotfi, Mohamed
dc.contributor.authorJavadi, Mohammad
dc.contributor.authorFitiwi, Desta Z.
dc.contributor.authorCastro, Rui
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorOsório, Gerardo J.
dc.contributor.authorSantos, Sérgio F.
dc.date.accessioned2022-02-01T11:31:38Z
dc.date.available2022-02-01T11:31:38Z
dc.date.issued2022-01
dc.description.abstractEmerging technologies are helping to accelerate the ongoing energy transition. At the forefront of these new technologies is blockchain, which has the potential to disrupt energy trading markets. This paper explores this potential by presenting an innovative multi-level Transactive Energy (TE) optimization model for the scheduling of Distributed Energy Resources (DERs) within connected Virtual Power Plants (VPPs). The model allows for energy transactions within a given VPP as well as between connected VPPs. A blockchain based smart contract layer is applied on top of the TE optimization model to automate and record energy transactions. The model is formulated to adhere to the new regulations for the self-generation and self-consumption of energy in Portugal. This new set of regulations can ease barriers to entry for consumers and increase their active participation in energy markets. Results show a decrease in energy costs for consumers and increased generation of locally produced electricity. This model shows that blockchain based smart contracts can be successfully integrated into a hierarchical energy trading model, which respects the novel energy regulation. This combination of technologies can be used to increase consumer participation, lower energy bills, and increase the penetration of locally generated electricity from renewable energy sourcespt_PT
dc.identifier.citationGough, M., Santos, S. F., Almeida, A., Lotfi, M., Javadi, M. S., Fitiwi, D. Z., Osório, G. J., Castro, R., & Catalão, J. P. S. (2022). Blockchain-based transactive energy framework for connected virtual power plants. IEEE Transactions on Industry Applications, 58(1), 986-995. doi: 10.1109/TIA.2021.3131537. Disponível no Repositório UPT, http://hdl.handle.net/11328/3913pt_PT
dc.identifier.doi10.1109/TIA.2021.3131537pt_PT
dc.identifier.issn0093-9994 (Print)
dc.identifier.issn1939-9367 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/3913
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://doi.org/10.1109/TIA.2021.3131537pt_PT
dc.rightsrestricted accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVirtual power plantspt_PT
dc.subjectTransactive energypt_PT
dc.subjectSmart contractspt_PT
dc.subjectBlockchainpt_PT
dc.subjectProsumerspt_PT
dc.titleBlockchain-based transactive energy framework for connected virtual power plantspt_PT
dc.typejournal articlept_PT
degois.publication.firstPage986pt_PT
degois.publication.issue1pt_PT
degois.publication.lastPage995pt_PT
degois.publication.titleIEEE Transactions on Industry Applicationspt_PT
degois.publication.volume58pt_PT
dspace.entity.typePublicationen
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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