A Stochastic Programming Model for the Planning of Distribution Systems Considering Renewable Distributed Generation and CO2 Emissions

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.creatorDe Lima, Tayenne Dias [UNESP]-
Autor(es): dc.creatorTabares, Alejandra [UNESP]-
Autor(es): dc.creatorArias, Nataly Bañol-
Autor(es): dc.creatorFranco, John F. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:08:26Z-
Data de disponibilização: dc.date.available2022-08-04T22:08:26Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2019-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ISGT-LA.2019.8895395-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221406-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221406-
Descrição: dc.descriptionThe presence of renewable distributed generation (DG) in electrical distribution systems (EDSs) has been increased in recent years, bringing technical, economical, and environmental benefits. However, the stochastic nature of renewable DG units increases the complexity of the planning and operation of EDSs. Hence, advanced planning models that take into account the uncertain nature of the renewable DG units, as well as their benefits in reducing emissions, are required. This work proposes a two-stage stochastic programming model for the expansion planning of EDSs that considers the uncertainties associated with the renewable DG units, the demand, and the energy price. The objective function minimizes the net present value of investments and operation costs, as well as the cost of CO2 emissions. The proposed model was implemented in the AMPL modeling language and solved via the commercial solver CPLEX. Tests with a 24-node system illustrate the efficiency of the proposed model.-
Descrição: dc.descriptionSão Paulo State University Dep. of Electrical Engineering-
Descrição: dc.descriptionState University of Campinas Dep. of Energy Systems-
Descrição: dc.descriptionSão Paulo State University School of Energy Engineering-
Descrição: dc.descriptionSão Paulo State University Dep. of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University School of Energy Engineering-
Idioma: dc.languageen-
Relação: dc.relation2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectElectrical distribution systems-
Palavras-chave: dc.subjectexpansion planning-
Palavras-chave: dc.subjectrenewable distributed generation-
Palavras-chave: dc.subjectstochastic programming-
Palavras-chave: dc.subjectuncertainties-
Título: dc.titleA Stochastic Programming Model for the Planning of Distribution Systems Considering Renewable Distributed Generation and CO2 Emissions-
Aparece nas coleções:Repositório Institucional - Unesp

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