Business Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorPolytech Porto-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorLezama, Fernando-
Autor(es): dc.creatorSoares, Joao-
Autor(es): dc.creatorFaia, Ricardo-
Autor(es): dc.creatorVale, Zita-
Autor(es): dc.creatorMacedo, Leonardo H. [UNESP]-
Autor(es): dc.creatorRomero, Ruben [UNESP]-
Autor(es): dc.creatorACM-
Data de aceite: dc.date.accessioned2022-02-22T00:10:55Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:55Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2019-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1145/3319619.3326807-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196954-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196954-
Descrição: dc.descriptionThe electrical grid is undergoing an unprecedented evolution driven mainly by the adoption of smart grid technologies. The high penetration of distributed energy resources, including renewables and electric vehicles, promises several benefits to the different market actors and consumers, but at the same time imposes grid integration challenges that must adequately be addressed. In this paper, we explore and propose potential business models (BMs) in the context of distribution networks with high penetration of electric vehicles (EVs). The analysis is linked to the CENERGETIC project (Coordinated ENErgy Resource manaGEment under uncerTainty considering electric vehiCles and demand flexibility in distribution networks). Due to the complex mechanisms needed to fulfill the interactions between stakeholders in such a scenario, computational intelligence (CI) techniques are envisaged as a viable option to provide efficient solutions to the optimization problems that might arise by the adoption of innovative BMs. After a brief review on evolutionary computation (EC) applied to the optimization problems in distribution networks with high penetration of EVs, we conclude that EC methods can be suited to implement the proposed business models in our future CENERGETIC project and beyond.-
Descrição: dc.descriptionFEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020)-
Descrição: dc.descriptionFCT Portuguese Foundation for Science and Technology-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionPolytech Porto, GECAD Res Grp Intelligent Engn & Comp Adv Innovat, Porto, Portugal-
Descrição: dc.descriptionSao Paulo State Univ, LaPSEE Power Syst Planning Lab, Dept Elect Engn, Ilha Solteira, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, LaPSEE Power Syst Planning Lab, Dept Elect Engn, Ilha Solteira, Brazil-
Descrição: dc.descriptionFEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020): POCI-01-0145-FEDER-028983-
Descrição: dc.descriptionFCT Portuguese Foundation for Science and Technology: PTDC/EEI-EEE/28983/2017-
Descrição: dc.descriptionFCT Portuguese Foundation for Science and Technology: UID/EEA/00760/2019-
Descrição: dc.descriptionFAPESP: 2018/08008-4-
Descrição: dc.descriptionFAPESP: 2018/20355-1-
Formato: dc.format1873-1878-
Idioma: dc.languageen-
Publicador: dc.publisherAssoc Computing Machinery-
Relação: dc.relationProceedings Of The 2019 Genetic And Evolutionary Computation Conference Companion (geccco'19 Companion)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectBusiness models-
Palavras-chave: dc.subjectcomputational intelligence-
Palavras-chave: dc.subjectelectric vehicles-
Palavras-chave: dc.subjectlocal markets-
Título: dc.titleBusiness Models for Flexibility of Electric Vehicles: Evolutionary Computation for a Successful Implementation-
Aparece nas coleções:Repositório Institucional - Unesp

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