Bi-level stochastic energy trading model for technical virtual power plants considering various renewable energy sources, energy storage systems and electric vehicles

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Porto-
Autor(es): dc.contributorTechnology and Science (INESC TEC)-
Autor(es): dc.contributorPortucalense University Infante D. Henrique (UPT)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Lisbon-
Autor(es): dc.creatorGough, Matthew-
Autor(es): dc.creatorSantos, Sérgio F.-
Autor(es): dc.creatorJavadi, Mohammad S.-
Autor(es): dc.creatorHome-Ortiz, Juan M.-
Autor(es): dc.creatorCastro, Rui-
Autor(es): dc.creatorCatalão, João P.S.-
Data de aceite: dc.date.accessioned2025-08-21T23:27:12Z-
Data de disponibilização: dc.date.available2025-08-21T23:27:12Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-09-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.est.2023.107742-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/248954-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/248954-
Descrição: dc.descriptionThe ongoing transition of the energy system towards being low-carbon, digitized and distributed is accelerating. Distributed Energy Resources (DERs) are playing a major role in this transition. These DERs can be aggregated and controlled by Virtual Power Plants (VPPs) to participate in energy markets and make full use of the potential of DERs. Many existing VPP models solely focus on the financial impact of aggregating DERs and do not consider the technical limitations of the distribution system. This may result in technically unfeasible solutions to DERs operations. This paper presents an expanded VPP model, termed the Technical Virtual Power Plant (TVPP), which explicitly considers the technical constraints of the network to provide operating schedules that are both economically beneficial to the DERs and technically feasible. The TVPP model is formulated as a bi-level stochastic mixed-integer linear programming (MILP) optimization model. Two objective functions are used, the upper level focuses on minimizing the amount of power imported into the TVPP from the external grid, while the lower level is concerned with optimally scheduling a mixture of DERs to increase the profit of the TVPP operator. The model considers three TVPPs and allows for energy trading among the TVPPs. The model is applied to several case studies based on the IEEE 119-node test system. Results show improved DERs operating schedules, improved system reliability and an increase in demand response engagement. Finally, energy trading among the TVPP is shown to further reduce the costs of the TVPP and power imported from the upstream electrical network.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionFundação para a Ciência e a Tecnologia-
Descrição: dc.descriptionFaculty of Engineering University of Porto-
Descrição: dc.descriptionInstitute for Systems and Computer Engineering Technology and Science (INESC TEC)-
Descrição: dc.descriptionResearch on Economics Management and Information Technologies (REMIT) Portucalense University Infante D. Henrique (UPT)-
Descrição: dc.descriptionElectrical Engineering Department São Paulo State University (UNESP), Ilha Solteira-
Descrição: dc.descriptionInstituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa (INESC-ID) Instituto Superior Técnico (IST) University of Lisbon-
Descrição: dc.descriptionResearch Center for Systems and Technologies (SYSTEC) Advanced Production and Intelligent Systems Associate Laboratory (ARISE) Faculty of Engineering University of Porto-
Descrição: dc.descriptionElectrical Engineering Department São Paulo State University (UNESP), Ilha Solteira-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2019/01841-5-
Descrição: dc.descriptionFAPESP: 2019/23755-3-
Descrição: dc.descriptionFundação para a Ciência e a Tecnologia: 2021.01052.CEECIND-
Descrição: dc.descriptionFundação para a Ciência e a Tecnologia: UI/BD/152279/2021-
Idioma: dc.languageen-
Relação: dc.relationJournal of Energy Storage-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAggregation-
Palavras-chave: dc.subjectBi-level mixed-integer linear programming-
Palavras-chave: dc.subjectDemand response-
Palavras-chave: dc.subjectDistributed energy resources-
Palavras-chave: dc.subjectVirtual power plant-
Título: dc.titleBi-level stochastic energy trading model for technical virtual power plants considering various renewable energy sources, energy storage systems and electric vehicles-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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