Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources
This paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load and renewable generation curves. The mathematical formulation of this problem corresponds to mixed-integer nonlinear programming (MINLP...
- Autores:
-
Montoya, Oscar Danilo
Gil-González, Walter
Molina-Cabrera, Alexander
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10432
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10432
https://doi.org/10.15446/dyna.v88n217.93099
- Palabra clave:
- Minimization of greenhouse gas emissions
Renewable energy resources
Daily demand curves
Convex optimization
Diesel generators
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.es_CO.fl_str_mv |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
dc.title.alternative.es_CO.fl_str_mv |
Minimización exacta de las pérdidas de energía y las emisiones de CO2 en redes de distribución DC aisladas empleando fuentes fotovoltaicas |
title |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
spellingShingle |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources Minimization of greenhouse gas emissions Renewable energy resources Daily demand curves Convex optimization Diesel generators LEMB |
title_short |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
title_full |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
title_fullStr |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
title_full_unstemmed |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
title_sort |
Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources |
dc.creator.fl_str_mv |
Montoya, Oscar Danilo Gil-González, Walter Molina-Cabrera, Alexander |
dc.contributor.author.none.fl_str_mv |
Montoya, Oscar Danilo Gil-González, Walter Molina-Cabrera, Alexander |
dc.subject.keywords.es_CO.fl_str_mv |
Minimization of greenhouse gas emissions Renewable energy resources Daily demand curves Convex optimization Diesel generators |
topic |
Minimization of greenhouse gas emissions Renewable energy resources Daily demand curves Convex optimization Diesel generators LEMB |
dc.subject.armarc.none.fl_str_mv |
LEMB |
description |
This paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load and renewable generation curves. The mathematical formulation of this problem corresponds to mixed-integer nonlinear programming (MINLP), which is reformulated via mixed-integer convex optimization: This ensures the global optimum solving the resulting optimization model via branch & bound and interior-point methods. The main idea of including PV sources in the DC grid is to minimize the daily energy losses and greenhouse emissions produced by diesel generators in isolated areas. The GAMS package is employed to solve the MINLP model, using mixed and integer variables; also, the CVX and MOSEK solvers are used to obtain solutions from the proposed mixed-integer convex model in the MATLAB. Numerical results demonstrate important reductions in the daily energy losses and the harmful gas emissions when PV sources are optimally integrated into DC grid. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-04-28 |
dc.date.accessioned.none.fl_str_mv |
2022-02-02T20:36:12Z |
dc.date.available.none.fl_str_mv |
2022-02-02T20:36:12Z |
dc.date.submitted.none.fl_str_mv |
2022-01-28 |
dc.type.driver.es_CO.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.hasVersion.es_CO.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
dc.type.spa.es_CO.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.identifier.citation.es_CO.fl_str_mv |
Montoya, O.D., Gil-González, W. and Molina-Cabrera, A., Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources.. DYNA, 88(217), pp. 178-184, April - June, 2021 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10432 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.15446/dyna.v88n217.93099 |
dc.identifier.instname.es_CO.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.es_CO.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
Montoya, O.D., Gil-González, W. and Molina-Cabrera, A., Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources.. DYNA, 88(217), pp. 178-184, April - June, 2021 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/10432 https://doi.org/10.15446/dyna.v88n217.93099 |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
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 |
dc.rights.cc.*.fl_str_mv |
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 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
7 Páginas |
dc.format.mimetype.es_CO.fl_str_mv |
application/pdf |
dc.publisher.place.es_CO.fl_str_mv |
Cartagena de Indias |
dc.source.es_CO.fl_str_mv |
DYNA - vol. 88 N° 217 (2021) |
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Universidad Tecnológica de Bolívar |
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Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Gil-González, Walter1747fed9-7818-4c10-a283-efb3c73ebb27Molina-Cabrera, Alexander01b29f76-a1f3-4151-a070-ce883ba398492022-02-02T20:36:12Z2022-02-02T20:36:12Z2021-04-282022-01-28Montoya, O.D., Gil-González, W. and Molina-Cabrera, A., Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sources.. DYNA, 88(217), pp. 178-184, April - June, 2021https://hdl.handle.net/20.500.12585/10432https://doi.org/10.15446/dyna.v88n217.93099Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load and renewable generation curves. The mathematical formulation of this problem corresponds to mixed-integer nonlinear programming (MINLP), which is reformulated via mixed-integer convex optimization: This ensures the global optimum solving the resulting optimization model via branch & bound and interior-point methods. The main idea of including PV sources in the DC grid is to minimize the daily energy losses and greenhouse emissions produced by diesel generators in isolated areas. The GAMS package is employed to solve the MINLP model, using mixed and integer variables; also, the CVX and MOSEK solvers are used to obtain solutions from the proposed mixed-integer convex model in the MATLAB. Numerical results demonstrate important reductions in the daily energy losses and the harmful gas emissions when PV sources are optimally integrated into DC grid.Este paper aborda la ubicación y el tamaño óptimos de las fuentes fotovoltaicas (PV) en redes eléctricas aisladas de corriente continua (CC), considerando la carga variable en el tiempo y las curvas de generación renovable. La formulación matemática de este problema corresponde a la programación no lineal de enteros mixtos (MINLP), que es reformulada mediante optimización convexa de enteros mixtos. Esto asegura el óptimo global resolviendo el modelo de optimización resultante a través de métodos de punto interior y ramificación. La idea principal de incluir fuentes fotovoltaicas en la red de CC es minimizar las pérdidas diarias de energía y las emisiones de efecto invernadero producidas por los generadores diésel en áreas aisladas. El paquete GAMS se emplea para resolver el modelo MINLP, utilizando variables mixtas y enteras. Además, los solucionadores CVX y MOSEK se utilizan para obtener soluciones del modelo convexo de enteros mixtos propuesto en MATLAB. Los resultados numéricos demuestran importantes reducciones en las pérdidas diarias de energía y las emisiones de gases nocivos cuando las fuentes fotovoltaicas se integran de manera óptima en la red de CC.7 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2DYNA - vol. 88 N° 217 (2021)Exact minimization of the energy losses and the CO2 emissions in isolated DC distribution networks using PV sourcesMinimización exacta de las pérdidas de energía y las emisiones de CO2 en redes de distribución DC aisladas empleando fuentes fotovoltaicasinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Minimization of greenhouse gas emissionsRenewable energy resourcesDaily demand curvesConvex optimizationDiesel generatorsLEMBCartagena de IndiasArunkumar, G., Elangovan, D., Sanjeevikumar, P., Nielsen, J.B.H., Leonowicz, Z. and Joseph, P.K., DC grid for domestic electrification. Energies, 12(11), pp. 1-17, 2019. DOI: 10.3390/en12112157Girbau-Llistuella, F., Díaz-González, F., Sumper, A., Gallart-Fernández, R. and Heredero-Peris, D., Smart grid architecture for rural distribution networks: application to a Spanish Pilot Network. Energies, 11(4), pp. 1-35, 2018. DOI: 10.3390/en11040844Lavorato, M., Franco, J.F., Rider, M.J. and Romero, R., Imposing radiality constraints in distribution system optimization problems. IEEE Transactions on Power Systems, 27(1), pp. 172-180, 2012. DOI: 10.1109/TPWRS.2011.2161349Lotfi, H. and Khodaei, A., AC versus DC microgrid planning. IEEE Transactions on Smart Grid, 8(1), pp. 296-304, 2017. DOI: 10.1109/TSG.2015.2457910Justo, J.J., Mwasilu, F., Lee, J. and Jung, J.W., AC-microgrids versus DC-microgrids with distributed energy resources: a review. Renewable and Sustainable Energy Reviews, 24(8), pp. 387-405, 2013. DOI: 10.1016/j.rser.2013.03.067Sarker, M.J., Asare-Bediako, B., Slootweg, J.G., Kling, W.L. and Alipuria, B., DC micro-grid with distributed generation for rural electrification, in: 2012 47th International Universities Power Engineering Conference (UPEC), 2012, pp. 1-6. DOI: 10.1109/UPEC.2012.6398580Garces, A., Uniqueness of the power flow solutions in low voltage direct current grids. Electric Power Systems Research, 151(10), pp. 149-153, 2017. DOI: 10.1016/j.epsr.2017.05.031Garces, A., On the convergence of Newton Method in power flow studies for DC microgrids. IEEE Transactions on Power Systems, 33(9), pp. 5770-5777, 2018. DOI: 10.1109/TPWRS.2018.2820430Li, J., Liu, F., Wang, Z., Low, S.H. and Mei, S., Optimal power flow in Stand-Alone DC microgrid., IEEE Transactions on Power Systems, 33(9), pp. 5496-5506, 9 2018. DOI: 10.1109/TPWRS.2018.2801280Gholizadeh-Roshanagh, R., Najafi-Ravadanegh, S. and Hosseinian, S.H., On optimal cost planning of low voltage direct current power distribution Networks. Electric Power Components and Systems, 46(9), pp. 1019-1028, 2018. DOI: 10.1080/15325008.2018.1445143Grisales-Noreña, L.F., Montoya, O.D., Ramos-Paja, C.A., Hernandez-Escobedo, Q. and Perea-Moreno, A.J., Optimal location and sizing of distributed generators in DC Networks using a hybrid method based on parallel PBIL and PSO. Electronics, 9(11), pp. 1-27, 2020. DOI: 10.3390/electronics9111808Gil-González, W., Montoya, O.D., Grisales-Noreña, L.F., Cruz-Peragón, F. and Alcalá, G., Economic dispatch of renewable generators and BESS in DC microgrids using second-order cone optimization. Energies, 13(7), pp. 1-15, 2020. 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DOI: 10.1109/TPWRS.2020.2994962Grisales-Noreña, L.F., Garzon-Rivera, O.D., Montoya, O.D. and Ramos-Paja, C.A., Metaheuristic optimization methods for optimal location and sizing DGs in DC Networks, in communications in computer and information science, Springer International Publishing, pp. 214-225, 2019. DOI: 10.1007/978-3-030-31019-6_19Molina-Martin, F., Montoya, O.D., Grisales-Noreña, L.F. and Hernández, J.C., A Mixed-Integer conic formulation for optimal placement and dimensioning of DGs in DC distribution Networks. Electronics, 10(2), pp. 1-15, 2021. DOI: 10.3390/electronics10020176Gil-González, W., Molina-Cabrera, A., Montoya, O.D. and Grisales-Noreña, L.F., An MI-SDP model for optimal location and sizing of distributed generators in DC grids that guarantees the global optimum. Applied Sciences, 10(21), pp. 1-19, 2020. DOI: 10.3390/app10217681Montoya, O.D., Gil-González, W. and Rivas-Trujillo, E., Optimal location-reallocation of battery energy storage systems in DC microgrids. 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DOI: 10.1287/educ.2013.0115Montoya, O.D., Grisales-Noreña, L F., Gil-González, W., Alcalá, G. and Hernandez-Escobedo, Q., Optimal location and sizing of PV sources in DC Networks for minimizing greenhouse emissions in diesel generators. Symmetry, 12(2), pp. 1-14, 2020. DOI: 10.3390/sym12020322Farivar, M. and Low, S.H., Branch flow model: relaxations and convexification-Part I. IEEE Transactions on Power Systems, 28(3), pp. 2554-2564, 2013. DOI: 10.1109/TPWRS.2013.2255317Kayacik, S.E. and Kocuk, B., An MISOCP-based solution approach to the reactive optimal power flow problem. IEEE Transactions on Power Systems, 36(1), pp. 529-532, 2021Farivar, M. and Low, S.H., Branch flow model: relaxations and convexification-Part II. IEEE Transactions on Power Systems, 28(3), pp. 2565-2572, 2013. DOI: 10.1109/TPWRS.2020.3036235Montoya, O.D., Serra, F.M and De Angelo, C. 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