Energy Management System for Three-Phase Microgrids using Affine Arithmetic
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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/openAccess2024-07-04T19:11:49Zoai:repositorio.unesp.br:11449/249203Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:16:09.646922Repositório 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 |
|
_version_ |
1808129301962293248 |