A Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniv Portsmouth-
Autor(es): dc.creatorSantos Martins, Andrea Camila dos [UNESP]-
Autor(es): dc.creatorRoberto Balbo, Antonio [UNESP]-
Autor(es): dc.creatorJones, Dylan-
Autor(es): dc.creatorNepomuceno, Leonardo [UNESP]-
Autor(es): dc.creatorMartins Soler, Edilaine [UNESP]-
Autor(es): dc.creatorCassia Baptista, Edmea [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:56:39Z-
Data de disponibilização: dc.date.available2022-02-22T00:56:39Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/su12176780-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209471-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209471-
Descrição: dc.descriptionWind energy is becoming an increasingly substantial component of many nations' energy portfolios. The intermittent nature of wind energy is traded off in a multi-objective sense against its environmental benefits when compared to conventional thermal energy sources. This gives rise to the multi-criteria sustainable dispatch problem considered in this paper. A relevant multi-objective model is formulated considering both environmental and economic criteria as well as ensuring adequate production levels. The techniques of weighted goal programming (WGP) and the progressive bounded constraint method (PBC) are combined in a novel manner in order to overcome computational challenges associated with the sinusoidal nature of the model. This allows the generation of a representative set of Pareto efficient solutions. The proposed methodology is demonstrated on a test set of relevant examples, and conclusions are drawn from both methodological and application perspectives. The results provide a quantification of the economic and environmental benefits of added wind power to a solely thermal system. However, a trade-off between the levels of economic versus environmental benefits gained is also demonstrated.-
Descrição: dc.descriptionPROPG-UNESP-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Engn FEB, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Sci FC, Dept Math, BR-17033360 Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Portsmouth, Ctr Operat Res & Logist, Sch Math & Phys, Portsmouth PO1 3HF, Hants, England-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Engn FEB, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista, Fac Sci FC, Dept Math, BR-17033360 Bauru, SP, Brazil-
Descrição: dc.descriptionPROPG-UNESP: PGEE/2018-
Formato: dc.format20-
Idioma: dc.languageen-
Publicador: dc.publisherMdpi-
Relação: dc.relationSustainability-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectwind energy-
Palavras-chave: dc.subjectmulti-objective optimization-
Palavras-chave: dc.subjectweighted goal programming-
Palavras-chave: dc.subjectprogressive bounded constraint-
Título: dc.titleA Hybrid Multi-Criteria Methodology for Solving the Sustainable Dispatch Problem-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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