An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation
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...
- Autores:
-
Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Hernández, Jesus C.
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/11844
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/11844
https://doi.org/10.3390/ batteries9020084
- Palabra clave:
- Recursive convex model
Battery energy storage systems
Monopolar DC distribution networks
Efficient energy management system
Distributed energy resources
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| title |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| spellingShingle |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation Recursive convex model Battery energy storage systems Monopolar DC distribution networks Efficient energy management system Distributed energy resources LEMB |
| title_short |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| title_full |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| title_fullStr |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| title_full_unstemmed |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| title_sort |
An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximation |
| dc.creator.fl_str_mv |
Grisales-Noreña, Luis Fernando Montoya, Oscar Danilo Hernández, Jesus C. |
| dc.contributor.author.none.fl_str_mv |
Grisales-Noreña, Luis Fernando Montoya, Oscar Danilo Hernández, Jesus C. |
| dc.subject.keywords.spa.fl_str_mv |
Recursive convex model Battery energy storage systems Monopolar DC distribution networks Efficient energy management system Distributed energy resources |
| topic |
Recursive convex model Battery energy storage systems Monopolar DC distribution networks Efficient energy management system Distributed energy resources LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
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. |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-05-08T13:28:41Z |
| dc.date.available.none.fl_str_mv |
2023-05-08T13:28:41Z |
| dc.date.issued.none.fl_str_mv |
2023-01-26 |
| dc.date.submitted.none.fl_str_mv |
2023-05-05 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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draft |
| dc.identifier.citation.spa.fl_str_mv |
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 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/11844 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/ batteries9020084 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
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 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/11844 https://doi.org/10.3390/ batteries9020084 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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18 páginas |
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application/pdf |
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Cartagena de Indias |
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Campus Tecnológico |
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Batteries - Vol 9 No. 2 (2023) |
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Universidad Tecnológica de Bolívar |
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Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d1Montoya, Oscar Danilo9fa8a75a-58fa-436d-a6e2-d80f718a4ea8Hernández, Jesus C.349b3120-388b-42be-8bea-32156f0dc09d2023-05-08T13:28:41Z2023-05-08T13:28:41Z2023-01-262023-05-05Grisales-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/batteries9020084https://hdl.handle.net/20.500.12585/11844https://doi.org/10.3390/ batteries9020084Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis 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.18 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 InternacionalAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Batteries - Vol 9 No. 2 (2023)An Efficient EMS for BESS in Monopolar DC Networks with High Penetration of Renewable Generation: A Convex Approximationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceRecursive convex modelBattery energy storage systemsMonopolar DC distribution networksEfficient energy management systemDistributed energy resourcesLEMBCartagena de IndiasCampus TecnológicoPúblico generalKhairnar, S.K.; Hadpe, S.S.; Shriwastava, R.G.; Khule, S.S. 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LV DC distribution network with distributed energy resources: Analysis of possible structures. In Proceedings of the 18th International Conference and Exhibition on Electricity Distribution (CIRED 2005), Turin, Italy, 6–9 June 2005; IEEE: Piscataway, NJ, USA, 2005.Barrera, N.G.; González, D.P.; Mesa, F.; Aristizábal, A. Procedure for the practical and economic integration of solar PV energy in the city of Bogotá. Energy Rep. 2021, 7, 163–180.Serra, F.M.; Montoya, O.D.; Alvarado-Barrios, L.; Álvarez-Arroyo, C.; Chamorro, H.R. On the Optimal Selection and Integration of Batteries in DC Grids through a Mixed-Integer Quadratic Convex Formulation. Electronics 2021, 10, 2339.Gil-González, W.; Montoya, O.D.; Holguín, E.; Garces, A.; Grisales-Noreña, L.F. Economic dispatch of energy storage systems in dc microgrids employing a semidefinite programming model. J. Energy Storage 2019, 21, 1–8. [Simiyu, P.; Xin, A.; Wang, K.; Adwek, G.; Salman, S. Multiterminal Medium Voltage DC Distribution Network Hierarchical Control. Electronics 2020, 9, 506Zagirnyak, M.; Rodkin, D.; Romashykhin, I. The possibilities of Tellegen’s theorem in the identification electrotechnical problems. In Proceedings of the 2017 International Conference on Modern Electrical and Energy Systems (MEES), Kremenchuk, Ukraine, 15–17 November 2017; IEEE: Piscataway, NJ, USA, 2017.Kazaoka, R.; Hisakado, T.; Wada, O. Balancing of instantaneous power flow in local area power network with Tellegen's theorem. In Proceedings of the 2012 IEEE International Conference on Power System Technology (POWERCON), Auckland, New Zealand, 30 October–2 November 2012; IEEE: Piscataway, NJ, USA, 2012Soroudi, A. Power System Optimization Modeling in GAMS; Springer International Publishing: Cham, Switzerland, 2017. Javadi, M.S.; Gouveia, C.S.; Carvalho, L.M.; Silva, R. 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