Agent-Based Modeling of Peer-to-Peer Energy Trading in a Smart Grid Environment

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorFEUP-
Autor(es): dc.contributorINESC TEC-
Autor(es): dc.contributorInfante D. Henrique-
Autor(es): dc.contributorINESC Coimbra-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorGuimarães, Diogo V.-
Autor(es): dc.creatorGough, Matthew B.-
Autor(es): dc.creatorSantos, Sérgio F.-
Autor(es): dc.creatorReis, Inês F.G.-
Autor(es): dc.creatorHome-Ortiz, Juan M.-
Autor(es): dc.creatorCatalão, João P.S.-
Data de aceite: dc.date.accessioned2025-08-21T16:55:42Z-
Data de disponibilização: dc.date.available2025-08-21T16:55:42Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584767-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/223661-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/223661-
Descrição: dc.descriptionThe energy system is undergoing a drastic transition towards a system where previously passive consumers will play important roles. These consumers who actively participate in the energy system with a variety of distributed energy resources, such as electric vehicles, solar panels, and battery energy storage systems, become so-called prosumers as they can also generate electricity. This electricity can then be self-consumed, sold to the existing grid, or be sold to other consumers connected to the same electric network through Peer-to-Peer (P2P) trading schemes. This P2P energy trading may offer significant advantages to consumers involved as well as the wider electric system. The use of Agent-Based Modelling (ABM) can help address these problems. ABM models allow to understand complex and dynamic systems by incorporating the behavior of individual agents into the model as the individual behavior of the agents has a direct influence on the outcomes of the systems. In this paper, an ABM model is developed to examine the effects of increased consumer participation within a local energy system. This model utilizes a diverse set of consumers based on real-world data to model and provide insight into the interactions within a P2P energy trading system. The effects of P2P trading on financial outcomes as well as the share of renewable energy utilized within the local energy system is investigated. Results show that ABM models can accurately model P2P energy trading systems and can capture the effects of individual behavior of many active consumers within electrical systems. Also, it is shown that there may be a tradeoff between maximizing P2P energy trades within a community and maximizing the revenues of the prosumers.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionEuropean Social Fund-
Descrição: dc.descriptionEuropean Regional Development Fund-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionMuseums Association-
Descrição: dc.descriptionFEUP-
Descrição: dc.descriptionFEUP INESC TEC-
Descrição: dc.descriptionINESC TEC Portucalense University Infante D. Henrique-
Descrição: dc.descriptionINESC Coimbra Department of Electrical and Computer Engineering-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, SP-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: 02/SAICT/2017-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2019/01841-5-
Descrição: dc.descriptionFAPESP: 2019/23755-3-
Descrição: dc.descriptionMuseums Association: PO-CI-01-0145-FEDER-028040-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: POCI-01-0145-FEDER-029803-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: SFRH/BD/143530/2019-
Descrição: dc.descriptionPrograma Operacional Temático Factores de Competitividade: UIDB/00308/2020-
Idioma: dc.languageen-
Relação: dc.relation21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectagent-based modelling-
Palavras-chave: dc.subjectpeer-to-peer energy trading-
Palavras-chave: dc.subjectprosumer-
Título: dc.titleAgent-Based Modeling of Peer-to-Peer Energy Trading in a Smart Grid Environment-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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