A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TSTE.2023.3261599 http://hdl.handle.net/11449/249059 |
Resumo: | Adopting 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). |
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A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon TaxesCarbon emissionsCarbon taxconditional value at riskCostsdistributed energy resourcesdistribution system expansion planningenergy storage systemsEV charging stationInvestmentPlanningRenewable energy sourcesrenewable generationSubstationsUncertaintyAdopting 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).Department of Electrical Engineering, São Paulo State University, Ilha Solteira, SP, BrazilIntelligent Systems Associate Laboratory (LASI) and GECAD, Polytechnic of Porto, Porto, Portugal2023-07-29T14:01:21Z2023-07-29T14:01:21Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TSTE.2023.3261599IEEE Transactions on Sustainable Energy.1949-30371949-3029http://hdl.handle.net/11449/24905910.1109/TSTE.2023.32615992-s2.0-85151563102Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Sustainable Energyde Lima, Tayenne DiasSoares, JoaoLezama, FernandoFranco, John F.Vale, Zitainfo:eu-repo/semantics/openAccess2023-07-29T14:01:21Zoai:repositorio.unesp.br:11449/249059Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T14:01:21Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
title |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
spellingShingle |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes de Lima, Tayenne Dias Carbon emissions Carbon tax conditional value at risk Costs distributed energy resources distribution system expansion planning energy storage systems EV charging station Investment Planning Renewable energy sources renewable generation Substations Uncertainty |
title_short |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
title_full |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
title_fullStr |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
title_full_unstemmed |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
title_sort |
A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes |
author |
de Lima, Tayenne Dias |
author_facet |
de Lima, Tayenne Dias Soares, Joao Lezama, Fernando Franco, John F. Vale, Zita |
author_role |
author |
author2 |
Soares, Joao Lezama, Fernando Franco, John F. Vale, Zita |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
de Lima, Tayenne Dias Soares, Joao Lezama, Fernando Franco, John F. Vale, Zita |
dc.subject.por.fl_str_mv |
Carbon emissions Carbon tax conditional value at risk Costs distributed energy resources distribution system expansion planning energy storage systems EV charging station Investment Planning Renewable energy sources renewable generation Substations Uncertainty |
topic |
Carbon emissions Carbon tax conditional value at risk Costs distributed energy resources distribution system expansion planning energy storage systems EV charging station Investment Planning Renewable energy sources renewable generation Substations Uncertainty |
description |
Adopting 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). |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T14:01:21Z 2023-07-29T14:01:21Z 2023-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TSTE.2023.3261599 IEEE Transactions on Sustainable Energy. 1949-3037 1949-3029 http://hdl.handle.net/11449/249059 10.1109/TSTE.2023.3261599 2-s2.0-85151563102 |
url |
http://dx.doi.org/10.1109/TSTE.2023.3261599 http://hdl.handle.net/11449/249059 |
identifier_str_mv |
IEEE Transactions on Sustainable Energy. 1949-3037 1949-3029 10.1109/TSTE.2023.3261599 2-s2.0-85151563102 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Sustainable Energy |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964915372392448 |