A stochastic model for medium-term distribution system planning considering CO2emissions

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorEscuela Técnica Superior de Ingenieriá Industrial-
Autor(es): dc.creatorMejia, Mario A.-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorMunoz-Delgado, Gregorio-
Autor(es): dc.creatorContreras, Javier-
Autor(es): dc.creatorPadilha-Feltrin, Antonio-
Data de aceite: dc.date.accessioned2025-08-21T19:23:17Z-
Data de disponibilização: dc.date.available2025-08-21T19:23:17Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SEST48500.2020.9203563-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233049-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233049-
Descrição: dc.descriptionThis paper presents a new two-stage stochastic mixed-integer linear programming model for the medium-term expansion planning of power distribution systems considering the uncertainty associated with renewable energy sources, demand, and energy prices at substations. Investment decisions comprise the installation of both 1) classical alternatives such as conductors, capacitor banks, and voltage regulators, and 2) modern alternatives such as renewable distributed generation and energy storage units. Moreover, unlike conventional planning models, the proposed approach includes a voltage-dependent load representation. The proposed model aims to find a planning strategy that minimizes the investment and operating costs while meeting network operational constraints and CO2 emissions requirements. Tests are carried out with a 69-node distribution system and the results demonstrate the effectiveness and applicability of this model as an effective means of promoting an efficient, sustainable, and environmentally-friendly network.-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering-
Descrição: dc.descriptionUniversidad de Castilla-La Mancha Escuela Técnica Superior de Ingenieriá Industrial-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering-
Idioma: dc.languageen-
Relação: dc.relationSEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies-
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Palavras-chave: dc.subjectDistribution system planning-
Palavras-chave: dc.subjectRenewable energy sources-
Palavras-chave: dc.subjectStochastic programming-
Palavras-chave: dc.subjectVoltage-dependent models-
Título: dc.titleA stochastic model for medium-term distribution system planning considering CO2emissions-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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