Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia
Generation dispatching is a challenge in islanded microgrids due to the operational and economic restrictions in isolated zones. Furthermore, the impact of usual operational network changes in topology, load demand, and generation availability may become significant considering the grid size. This r...
- Autores:
-
Hoyos Velandia, Cristian
Ramírez Hurtado, Lina
Quintero Restrepo, Jaime
Moreno Chuquen, Ricardo
González Longatt, Francisco
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/14703
- Acceso en línea:
- https://hdl.handle.net/10614/14703
https://red.uao.edu.co/
- Palabra clave:
- Almacenamiento de energía
Energy storage
Batteries
Cost functions
DER
Microgrids
Renewables
Storage
- Rights
- openAccess
- License
- Derechos reservados - MDPI, 2022
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dc.title.eng.fl_str_mv |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
title |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
spellingShingle |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia Almacenamiento de energía Energy storage Batteries Cost functions DER Microgrids Renewables Storage |
title_short |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
title_full |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
title_fullStr |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
title_full_unstemmed |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
title_sort |
Cost functions for generation dispatching in microgrids for non-interconnected zones in Colombia |
dc.creator.fl_str_mv |
Hoyos Velandia, Cristian Ramírez Hurtado, Lina Quintero Restrepo, Jaime Moreno Chuquen, Ricardo González Longatt, Francisco |
dc.contributor.author.none.fl_str_mv |
Hoyos Velandia, Cristian Ramírez Hurtado, Lina Quintero Restrepo, Jaime Moreno Chuquen, Ricardo González Longatt, Francisco |
dc.subject.armarc.spa.fl_str_mv |
Almacenamiento de energía |
topic |
Almacenamiento de energía Energy storage Batteries Cost functions DER Microgrids Renewables Storage |
dc.subject.armarc.eng.fl_str_mv |
Energy storage |
dc.subject.proposal.eng.fl_str_mv |
Batteries Cost functions DER Microgrids Renewables Storage |
description |
Generation dispatching is a challenge in islanded microgrids due to the operational and economic restrictions in isolated zones. Furthermore, the impact of usual operational network changes in topology, load demand, and generation availability may become significant considering the grid size. This research paper presents a detailed multiple cost function modeling methodology of an optimal power flow algorithm applied to a noninterconnected zone in Colombia. The optimal power flow (OPF) formulation includes cost functions related to renewable resources as presented in the isolated zone and a complete model of the charging and discharging of batteries. Additionally, the flexibility of the proposal is tested using three different network topologies with a characteristic daily load curve from the zone. The main contribution of this paper lies in the implementation of an optimal power flow including cost functions of renewable sources for isolated microgrids. A test case for a non-interconnected zone in Colombia is performed for various operation cases. |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022-03-22 |
dc.date.accessioned.none.fl_str_mv |
2023-05-05T20:34:37Z |
dc.date.available.none.fl_str_mv |
2023-05-05T20:34:37Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.eng.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
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dc.identifier.issn.spa.fl_str_mv |
19961073 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10614/14703 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Autónoma de Occidente |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Educativo Digital UAO |
dc.identifier.repourl.spa.fl_str_mv |
https://red.uao.edu.co/ |
identifier_str_mv |
19961073 Universidad Autónoma de Occidente Repositorio Educativo Digital UAO |
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https://hdl.handle.net/10614/14703 https://red.uao.edu.co/ |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.relation.citationendpage.spa.fl_str_mv |
14 |
dc.relation.citationissue.spa.fl_str_mv |
7 |
dc.relation.citationstartpage.spa.fl_str_mv |
1 |
dc.relation.citationvolume.spa.fl_str_mv |
15 |
dc.relation.cites.spa.fl_str_mv |
Hoyos Velandia, C., Ramírez Hurtado, L., Quintero Restrepo, J., Moreno Chuquen, R., González Longatt F. (2022). Cost Functions for Generation Dispatching in Microgrids forNon-Interconnected Zones in Colombia. Energies, 15(7), 1-14. https://hdl.handle.net/10614/14703 |
dc.relation.ispartofjournal.eng.fl_str_mv |
Energies |
dc.relation.references.none.fl_str_mv |
Hirsch, A.; Parag, Y.; Guerrero, J. Microgrids: A review of technologies, key drivers, and outstanding issues. Renew. Sustain. Energy Rev. 2018, 90, 402–411 Jung, J.; Villaran, M. Optimal planning and design of hybrid renewable energy systems for microgrids. Renew. Sustain. Energy Rev. 2017, 75, 180–191. Xiaoping, L.; Ming, D.; Jianghong, H.; Pingping, H.; Yali, P. Dynamic economic dispatch for microgrids including battery energy storage. In Proceedings of the 2nd International Symposium on Power Electronics for Distributed Generation Systems, Hefei, China, 16–18 June 2010; pp. 914–917. Balducci, P.; Mongird, K.; Wu, D.; Wang, D.; Fotedar, V.; Dahowski, R. An evaluation of the economic and resilience benefits of a microgrid in Northampton, Massachusetts. Energies 2020, 13, 4802. Pozo, D.; Contreras, J.; Sauma, E.E. Unit commitment with ideal and generic energy storage units. IEEE Trans. Power Syst. 2014, 29, 2974–2984. Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L.; Orozco-Henao, C.; Serra, F. Economic dispatch of BESS and renewable generators in DC microgrids using voltage-dependent load models. Energies 2019, 12, 4494 Lee, G.H.; Park, J.Y.; Ham, S.J.; Kim, Y.J. Comparative study on optimization solvers for implementation of a two-stage economic dispatch strategy in a microgrid energy management System. Energies 2020, 13, 1096. Modiri-Delshad, M.; Koohi-Kamali, S.; Taslimi, E.; Kaboli, S.H.A.; Rahim, N.A. Economic dispatch in a microgrid through an iterated-based algorithm. In Proceedings of the 2013 IEEE Conference on Clean Energy and Technology (CEAT), Langkawi, Malaysia, 18–20 November 2013 Elkelawy, M.; Bastawissi, H.A.E.; Esmaeil, K.K.; Radwan, A.M.; Panchal, H.; Sadasivuni, K.K.; Ponnamma, D.; Walvekar, R. Experimental studies on the biodiesel production parameters optimization of sunflower and soybean oil mixture and DI engine combustion, performance, and emission analysis fueled with diesel/biodiesel blends. Fuel 2019, 255, 115791. Castillo, A.; Gayme, D.F. Profit maximizing storage allocation in power grids. In Proceedings of the 52nd IEEE Conference on Decision and Control, Firenze, Italy, 10–13 December 2013; pp. 429–435. Pfenninger, S.; Staffell, I. Long-term patterns of european PV output using 30 years of validated hourly reanalysis and satellite data. Energy 2016, 114, 1251–1265. Hatziargyriou, N. Microgrids: Architectures and Control; John Wiley & Sons: Hoboken, NJ, USA, 2014. 39. Dimeas, A.L.; Hatziargyriou, N.D. Operation of a multiagent system for microgrid control. IEEE Trans. Power Syst. 2005, 20, 1447–1455. [C |
dc.rights.spa.fl_str_mv |
Derechos reservados - MDPI, 2022 |
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info:eu-repo/semantics/openAccess |
dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
rights_invalid_str_mv |
Derechos reservados - MDPI, 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
dc.format.extent.spa.fl_str_mv |
14 páginas |
dc.format.mimetype.eng.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
MDPI |
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Basel, Suiza |
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Universidad Autónoma de Occidente |
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Hoyos Velandia, Cristianc075346ac12818ee985ed7af14149d66Ramírez Hurtado, Lina76559c421b3ce8990ab4c9968b6dd98cQuintero Restrepo, Jaimevirtual::4240-1Moreno Chuquen, RicardoGonzález Longatt, Franciscoec8bc0be4b0326276b38da3c5b3de1732023-05-05T20:34:37Z2023-05-05T20:34:37Z2022-03-2219961073https://hdl.handle.net/10614/14703Universidad Autónoma de OccidenteRepositorio Educativo Digital UAOhttps://red.uao.edu.co/Generation dispatching is a challenge in islanded microgrids due to the operational and economic restrictions in isolated zones. Furthermore, the impact of usual operational network changes in topology, load demand, and generation availability may become significant considering the grid size. This research paper presents a detailed multiple cost function modeling methodology of an optimal power flow algorithm applied to a noninterconnected zone in Colombia. The optimal power flow (OPF) formulation includes cost functions related to renewable resources as presented in the isolated zone and a complete model of the charging and discharging of batteries. Additionally, the flexibility of the proposal is tested using three different network topologies with a characteristic daily load curve from the zone. The main contribution of this paper lies in the implementation of an optimal power flow including cost functions of renewable sources for isolated microgrids. A test case for a non-interconnected zone in Colombia is performed for various operation cases. 14 páginasapplication/pdfengMDPIBasel, SuizaDerechos reservados - MDPI, 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Cost functions for generation dispatching in microgrids for non-interconnected zones in ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Almacenamiento de energíaEnergy storageBatteriesCost functionsDERMicrogridsRenewablesStorage147115Hoyos Velandia, C., Ramírez Hurtado, L., Quintero Restrepo, J., Moreno Chuquen, R., González Longatt F. (2022). Cost Functions for Generation Dispatching in Microgrids forNon-Interconnected Zones in Colombia. Energies, 15(7), 1-14. https://hdl.handle.net/10614/14703EnergiesHirsch, A.; Parag, Y.; Guerrero, J. Microgrids: A review of technologies, key drivers, and outstanding issues. Renew. Sustain. Energy Rev. 2018, 90, 402–411Jung, J.; Villaran, M. Optimal planning and design of hybrid renewable energy systems for microgrids. Renew. Sustain. Energy Rev. 2017, 75, 180–191.Xiaoping, L.; Ming, D.; Jianghong, H.; Pingping, H.; Yali, P. Dynamic economic dispatch for microgrids including battery energy storage. In Proceedings of the 2nd International Symposium on Power Electronics for Distributed Generation Systems, Hefei, China, 16–18 June 2010; pp. 914–917.Balducci, P.; Mongird, K.; Wu, D.; Wang, D.; Fotedar, V.; Dahowski, R. An evaluation of the economic and resilience benefits of a microgrid in Northampton, Massachusetts. Energies 2020, 13, 4802.Pozo, D.; Contreras, J.; Sauma, E.E. Unit commitment with ideal and generic energy storage units. IEEE Trans. Power Syst. 2014, 29, 2974–2984.Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L.; Orozco-Henao, C.; Serra, F. Economic dispatch of BESS and renewable generators in DC microgrids using voltage-dependent load models. Energies 2019, 12, 4494Lee, G.H.; Park, J.Y.; Ham, S.J.; Kim, Y.J. Comparative study on optimization solvers for implementation of a two-stage economic dispatch strategy in a microgrid energy management System. Energies 2020, 13, 1096.Modiri-Delshad, M.; Koohi-Kamali, S.; Taslimi, E.; Kaboli, S.H.A.; Rahim, N.A. Economic dispatch in a microgrid through an iterated-based algorithm. In Proceedings of the 2013 IEEE Conference on Clean Energy and Technology (CEAT), Langkawi, Malaysia, 18–20 November 2013Elkelawy, M.; Bastawissi, H.A.E.; Esmaeil, K.K.; Radwan, A.M.; Panchal, H.; Sadasivuni, K.K.; Ponnamma, D.; Walvekar, R. Experimental studies on the biodiesel production parameters optimization of sunflower and soybean oil mixture and DI engine combustion, performance, and emission analysis fueled with diesel/biodiesel blends. Fuel 2019, 255, 115791.Castillo, A.; Gayme, D.F. Profit maximizing storage allocation in power grids. In Proceedings of the 52nd IEEE Conference on Decision and Control, Firenze, Italy, 10–13 December 2013; pp. 429–435.Pfenninger, S.; Staffell, I. Long-term patterns of european PV output using 30 years of validated hourly reanalysis and satellite data. Energy 2016, 114, 1251–1265.Hatziargyriou, N. Microgrids: Architectures and Control; John Wiley & Sons: Hoboken, NJ, USA, 2014. 39. Dimeas, A.L.; Hatziargyriou, N.D. Operation of a multiagent system for microgrid control. IEEE Trans. Power Syst. 2005, 20, 1447–1455. 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