Mathematical models and optimization techniques to support local electricity markets

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dc.contributor.authorFranco, John Fredy [UNESP]
dc.contributor.authorMacedo, Leonardo H. [UNESP]
dc.contributor.authorArias, Nataly Bañol
dc.contributor.authorTabares, Alejandra [UNESP]
dc.contributor.authorRomero, Rubén [UNESP]
dc.contributor.authorSoares, João
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionSchool of Engineering of Polytechnic of Porto
dc.date.accessioned2023-03-02T00:08:31Z
dc.date.available2023-03-02T00:08:31Z
dc.date.issued2021-01-01
dc.description.abstractThe 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.en
dc.description.affiliationSchool of Energy Engineering São Paulo State University
dc.description.affiliationDepartment of Electrical Engineering São Paulo State University
dc.description.affiliationDepartment of Energy Systems School of Electrical and Computer Engineering University of Campinas
dc.description.affiliationGECAD Research Center School of Engineering of Polytechnic of Porto
dc.description.affiliationUnespSchool of Energy Engineering São Paulo State University
dc.description.affiliationUnespDepartment of Electrical Engineering São Paulo State University
dc.format.extent259-276
dc.identifierhttp://dx.doi.org/10.1016/B978-0-12-820074-2.00019-8
dc.identifier.citationLocal Electricity Markets, p. 259-276.
dc.identifier.doi10.1016/B978-0-12-820074-2.00019-8
dc.identifier.scopus2-s2.0-85129054177
dc.identifier.urihttp://hdl.handle.net/11449/241780
dc.language.isoeng
dc.relation.ispartofLocal Electricity Markets
dc.sourceScopus
dc.subjectDecomposition methods
dc.subjectDistributed energy resources
dc.subjectMathematical modeling
dc.subjectMeta-heuristics
dc.subjectOptimization
dc.subjectRenewable distributed generation
dc.titleMathematical models and optimization techniques to support local electricity marketsen
dc.typeCapítulo de livro
unesp.departmentEngenharia Elétrica - FEISpt

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Ilha Solteira - FEIS - Faculdade de Engenharia