Multistage Planning Model for Active Distribution Systems and Electric Vehicle Charging Stations Considering Voltage-Dependent Load Behavior

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidad de Castilla-La Mancha-
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.accessioned2025-08-21T20:46:22Z-
Data de disponibilização: dc.date.available2025-08-21T20:46:22Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TSG.2021.3125786-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234229-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234229-
Descrição: dc.descriptionThis work proposes a novel mixed-integer linear programming model for the medium-term multistage planning of active distribution systems and electric vehicle charging stations (EVCSs). Investment alternatives include the installation of conductors, capacitor banks, voltage regulators, dispatchable and nondispatchable distributed generation, energy storage units, and EVCSs. Hence, the model identifies the best size, location, and installation time for the candidate assets under the uncertainty associated with electricity demand, energy prices, renewable energy sources, and EVCSs' load profiles. Unlike classical planning approaches, conventional load is modeled as voltage-dependent. Besides, EVCSs are planned by zones to optimize the coverage of the service provided to users of electric vehicles and to reduce the discrepancy between the geographical requirements and the optimal locations for the installation of EVCSs in the system. EVCSs' load profiles are calculated using a travel simulation algorithm based on real travel patterns that consider fast, slow, and residential chargers. Moreover, as another salient feature, constraints for CO2 emissions are incorporated into the model. The resulting model is formulated as a stochastic scenario-based program, which is driven by the minimization of the total expected cost. Tests are conducted using a 69-node system to demonstrate the effectiveness of the proposed model.-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionEscuela Técnica Superior de Ingeniería Industrial Universidad de Castilla-La Mancha-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Formato: dc.format1383-1397-
Idioma: dc.languageen-
Relação: dc.relationIEEE Transactions on Smart Grid-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectActive distribution systems-
Palavras-chave: dc.subjectelectric vehicle charging stations-
Palavras-chave: dc.subjectmixed-integer linear programming-
Palavras-chave: dc.subjectmultistage planning-
Palavras-chave: dc.subjectvoltage-dependent load model-
Título: dc.titleMultistage Planning Model for Active Distribution Systems and Electric Vehicle Charging Stations Considering Voltage-Dependent Load Behavior-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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