Mathematical models and optimization techniques to support local electricity markets

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorSchool of Engineering of Polytechnic of Porto-
Autor(es): dc.creatorFranco, John Fredy-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorArias, Nataly Bañol-
Autor(es): dc.creatorTabares, Alejandra-
Autor(es): dc.creatorRomero, Rubén-
Autor(es): dc.creatorSoares, João-
Data de aceite: dc.date.accessioned2025-08-21T16:16:12Z-
Data de disponibilização: dc.date.available2025-08-21T16:16:12Z-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2023-03-02-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/B978-0-12-820074-2.00019-8-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/241780-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/241780-
Descrição: dc.descriptionThe implementation of local electricity markets (LEMs) requires efficient tools that can provide solutions for the optimal management of distributed energy resources (DERs) considering economic and technical aspects. This chapter presents mathematical models for the formulation of optimization problems in LEMs including DERs (renewable distributed generation, energy storage devices, and electric vehicles) as well as control devices (capacitor banks and voltage regulators). Mathematical formulations based on mixed-integer linear programming (MILP), stochastic programming, and robust optimization are also discussed. Moreover, meta-heuristic and decomposition methods are presented as optimization techniques that contribute to tackle two critical aspects in the solution of complex optimization problems: finding good-quality solutions and reducing the computational effort. Those deterministic and approximate approaches form a stack of optimization techniques that can be adopted to solve optimization problems in LEMs such as feasible and economic operation, integration of DERs, and demand response.-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Energy Systems School of Electrical and Computer Engineering University of Campinas-
Descrição: dc.descriptionGECAD Research Center School of Engineering of Polytechnic of Porto-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University-
Formato: dc.format259-276-
Idioma: dc.languageen-
Relação: dc.relationLocal Electricity Markets-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDecomposition methods-
Palavras-chave: dc.subjectDistributed energy resources-
Palavras-chave: dc.subjectMathematical modeling-
Palavras-chave: dc.subjectMeta-heuristics-
Palavras-chave: dc.subjectOptimization-
Palavras-chave: dc.subjectRenewable distributed generation-
Título: dc.titleMathematical models and optimization techniques to support local electricity markets-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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