Energy Management System for Three-Phase Microgrids using Affine Arithmetic

Detalhes bibliográficos
Autor(a) principal: Moran, John Penaloza [UNESP]
Data de Publicação: 2022
Outros Autores: Lopez, Julio C., Feltrin, Antonio Padilha [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/INTERCON55795.2022.9870102
http://hdl.handle.net/11449/249203
Resumo: This work presents a three-phase mathematical model based on Affine Arithmetic to solve the problem of the Energy Management System for microgrids in grid-connected mode, considering the uncertainties in the load and renewable energy. The resulting model contains two optimization subproblems. The first problem is a mixed-integer linear programming model that represents the Unit Commitment problem based on Affine Arithmetic, and the second problem is a non-linear programming model that establishes the formulation for the economic dispatch problem. The optimization problems are written in AMPL, while the heuristic process, which integrates the subproblems, is solved in Matlab2018b through the AMPL-API interface. Finally, the efficiency of the proposed work is evaluated in a three-phase IEEE 19-bus system, where the results showed robust solutions without requiring a considerable computational effort, reaching an economical operation.
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spelling Energy Management System for Three-Phase Microgrids using Affine Arithmeticaffine arithmeticdistributed generationenergy management systemmicrogridsuncertaintiesThis work presents a three-phase mathematical model based on Affine Arithmetic to solve the problem of the Energy Management System for microgrids in grid-connected mode, considering the uncertainties in the load and renewable energy. The resulting model contains two optimization subproblems. The first problem is a mixed-integer linear programming model that represents the Unit Commitment problem based on Affine Arithmetic, and the second problem is a non-linear programming model that establishes the formulation for the economic dispatch problem. The optimization problems are written in AMPL, while the heuristic process, which integrates the subproblems, is solved in Matlab2018b through the AMPL-API interface. Finally, the efficiency of the proposed work is evaluated in a three-phase IEEE 19-bus system, where the results showed robust solutions without requiring a considerable computational effort, reaching an economical operation.São Paulo State University Faculty of Engineering of Ilha Solteira, SPIowa State University ECpE DepartmentSão Paulo State University Faculty of Engineering of Ilha Solteira, SPUniversidade Estadual Paulista (UNESP)ECpE DepartmentMoran, John Penaloza [UNESP]Lopez, Julio C.Feltrin, Antonio Padilha [UNESP]2023-07-29T14:13:04Z2023-07-29T14:13:04Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/INTERCON55795.2022.9870102Proceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022.http://hdl.handle.net/11449/24920310.1109/INTERCON55795.2022.98701022-s2.0-85138765292Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022info:eu-repo/semantics/openAccess2023-07-29T14:13:05Zoai:repositorio.unesp.br:11449/249203Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T14:13:05Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Energy Management System for Three-Phase Microgrids using Affine Arithmetic
title Energy Management System for Three-Phase Microgrids using Affine Arithmetic
spellingShingle Energy Management System for Three-Phase Microgrids using Affine Arithmetic
Moran, John Penaloza [UNESP]
affine arithmetic
distributed generation
energy management system
microgrids
uncertainties
title_short Energy Management System for Three-Phase Microgrids using Affine Arithmetic
title_full Energy Management System for Three-Phase Microgrids using Affine Arithmetic
title_fullStr Energy Management System for Three-Phase Microgrids using Affine Arithmetic
title_full_unstemmed Energy Management System for Three-Phase Microgrids using Affine Arithmetic
title_sort Energy Management System for Three-Phase Microgrids using Affine Arithmetic
author Moran, John Penaloza [UNESP]
author_facet Moran, John Penaloza [UNESP]
Lopez, Julio C.
Feltrin, Antonio Padilha [UNESP]
author_role author
author2 Lopez, Julio C.
Feltrin, Antonio Padilha [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
ECpE Department
dc.contributor.author.fl_str_mv Moran, John Penaloza [UNESP]
Lopez, Julio C.
Feltrin, Antonio Padilha [UNESP]
dc.subject.por.fl_str_mv affine arithmetic
distributed generation
energy management system
microgrids
uncertainties
topic affine arithmetic
distributed generation
energy management system
microgrids
uncertainties
description This work presents a three-phase mathematical model based on Affine Arithmetic to solve the problem of the Energy Management System for microgrids in grid-connected mode, considering the uncertainties in the load and renewable energy. The resulting model contains two optimization subproblems. The first problem is a mixed-integer linear programming model that represents the Unit Commitment problem based on Affine Arithmetic, and the second problem is a non-linear programming model that establishes the formulation for the economic dispatch problem. The optimization problems are written in AMPL, while the heuristic process, which integrates the subproblems, is solved in Matlab2018b through the AMPL-API interface. Finally, the efficiency of the proposed work is evaluated in a three-phase IEEE 19-bus system, where the results showed robust solutions without requiring a considerable computational effort, reaching an economical operation.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T14:13:04Z
2023-07-29T14:13:04Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/INTERCON55795.2022.9870102
Proceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022.
http://hdl.handle.net/11449/249203
10.1109/INTERCON55795.2022.9870102
2-s2.0-85138765292
url http://dx.doi.org/10.1109/INTERCON55795.2022.9870102
http://hdl.handle.net/11449/249203
identifier_str_mv Proceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022.
10.1109/INTERCON55795.2022.9870102
2-s2.0-85138765292
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of the 2022 IEEE 29th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2022
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
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