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An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation
dc.contributor.author | Grisales-Noreña, Luis Fernando | |
dc.contributor.author | Montoya, Oscar Danilo | |
dc.contributor.author | Hernández, Jesus C. | |
dc.date.accessioned | 2023-05-08T13:28:41Z | |
dc.date.available | 2023-05-08T13:28:41Z | |
dc.date.issued | 2023-01-26 | |
dc.date.submitted | 2023-05-05 | |
dc.identifier.citation | Grisales-Noreña, L.F.; Montoya, O.D.; Hernández, J.C. An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation. Batteries 2023, 9, 84. https://doi.org/10.3390/batteries9020084 | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/11844 | |
dc.description.abstract | This research presents an efficient energy management system (EMS) for battery energy storage systems (BESS) connected to monopolar DC distribution networks which considers a high penetration of photovoltaic generation. The optimization model that expresses the EMS system with the BESS and renewable generation can be classified as a nonlinear programming (NLP) model. This study reformulates the NLP model as a recursive convex approximation (RCA) model. The proposed RCA model is developed by applying a linear approximation for the voltage magnitudes only at nodes that include constant power loads. The nodes with BESS and renewables are approximated through the relaxation of their voltage magnitude. Numerical results obtained in the monopolar version of a 33-bus system, which included three generators and three BESS, demonstrate the effectiveness of the RCA reformulation when compared to the solution of the exact NLP model via combinatorial optimization techniques. Additional simulations considering wind power and diesel generators allow one to verify the effectiveness of the proposed RCA in dealing with the efficient operation of distributed energy resources in monopolar DC networks via recursive convex programming. | spa |
dc.format.extent | 18 páginas | |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | Batteries - Vol 9 No. 2 (2023) | spa |
dc.title | An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation | spa |
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datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_b1a7d7d4d402bcce | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.hasversion | info:eu-repo/semantics/draft | spa |
dc.identifier.doi | https://doi.org/10.3390/ batteries9020084 | |
dc.subject.keywords | Recursive convex model | spa |
dc.subject.keywords | Battery energy storage systems | spa |
dc.subject.keywords | Monopolar DC distribution networks | spa |
dc.subject.keywords | Efficient energy management system | spa |
dc.subject.keywords | Distributed energy resources | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
dc.publisher.place | Cartagena de Indias | spa |
dc.subject.armarc | LEMB | |
dc.type.spa | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
dc.audience | Público general | spa |
dc.publisher.sede | Campus Tecnológico | spa |
oaire.resourcetype | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.