A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorde Lima, Tayenne Dias-
Autor(es): dc.creatorSoares, Joao-
Autor(es): dc.creatorLezama, Fernando-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorVale, Zita-
Data de aceite: dc.date.accessioned2025-08-21T18:12:42Z-
Data de disponibilização: dc.date.available2025-08-21T18:12:42Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TSTE.2023.3261599-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249059-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249059-
Descrição: dc.descriptionAdopting distributed energy resources (DERs) is the key to a low-carbon future in electrical distribution systems (EDS). However, integrating DERs increases the uncertainties in the distribution system expansion planning (DSEP). Thus, the long-term DSEP faces a planning risk brought by the uncertainty of demand, electric vehicle (EV) demand, renewable production, and energy prices. Therefore, this work proposes a novel model for the multi-period planning of EDSs and DERs considering conditional value at risk (CVaR) to manage fluctuations in generation cost and carbon emissions. The proposed mathematical model aims to minimize the net present cost related to investment, operation, and risk. Unlike previous approaches, uncertain behavior of demand growth per planning period is addressed, and the risk is evaluated from two perspectives: planning costs and carbon taxes. Investments in substations, lines, renewable distributed generation, EV charging stations, and energy storage systems are considered. The uncertainties associated with the variability of renewable generation and demand are modeled through a set of scenarios. Finally, the model was evaluated using the 24 and 54-bus EDS. Thus, the proposal is a flexible tool that can be used for different purposes (e.g., carbon taxes, budget limits).-
Descrição: dc.descriptionDepartment of Electrical Engineering, São Paulo State University, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionIntelligent Systems Associate Laboratory (LASI) and GECAD, Polytechnic of Porto, Porto, Portugal-
Idioma: dc.languageen-
Relação: dc.relationIEEE Transactions on Sustainable Energy-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCarbon emissions-
Palavras-chave: dc.subjectCarbon tax-
Palavras-chave: dc.subjectconditional value at risk-
Palavras-chave: dc.subjectCosts-
Palavras-chave: dc.subjectdistributed energy resources-
Palavras-chave: dc.subjectdistribution system expansion planning-
Palavras-chave: dc.subjectenergy storage systems-
Palavras-chave: dc.subjectEV charging station-
Palavras-chave: dc.subjectInvestment-
Palavras-chave: dc.subjectPlanning-
Palavras-chave: dc.subjectRenewable energy sources-
Palavras-chave: dc.subjectrenewable generation-
Palavras-chave: dc.subjectSubstations-
Palavras-chave: dc.subjectUncertainty-
Título: dc.titleA Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes-
Tipo de arquivo: dc.typelivro digital-
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