Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation

This paper deals with the multi-objective operation of battery energy storage systems (BESS) in AC distribution systems using a convex reformulation. The objective functions are CO2 emissions, and the costs of the daily energy losses are considered. The conventional non-linear nonconvex branch multi...

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Autores:
Gil González, Walter Julián
Montoya Giraldo, Oscar Danilo
Grisales-Noreña, Luis Fernando
Escobar Mejía, Andrés
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:20.500.12585/10625
Acceso en línea:
https://hdl.handle.net/20.500.12585/10625
https://doi.org/10.3390/computation9120137
Palabra clave:
Battery energy storage system
Multi-objective optimization model
Distribution networks
Non-linear optimization
Convex reformulation
Second-order cone programming
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UTB2_85a022853a3df95ff3b1801843741930
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network_acronym_str UTB2
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dc.title.spa.fl_str_mv Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
title Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
spellingShingle Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
Battery energy storage system
Multi-objective optimization model
Distribution networks
Non-linear optimization
Convex reformulation
Second-order cone programming
title_short Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
title_full Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
title_fullStr Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
title_full_unstemmed Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
title_sort Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation
dc.creator.fl_str_mv Gil González, Walter Julián
Montoya Giraldo, Oscar Danilo
Grisales-Noreña, Luis Fernando
Escobar Mejía, Andrés
dc.contributor.author.none.fl_str_mv Gil González, Walter Julián
Montoya Giraldo, Oscar Danilo
Grisales-Noreña, Luis Fernando
Escobar Mejía, Andrés
dc.subject.keywords.spa.fl_str_mv Battery energy storage system
Multi-objective optimization model
Distribution networks
Non-linear optimization
Convex reformulation
Second-order cone programming
topic Battery energy storage system
Multi-objective optimization model
Distribution networks
Non-linear optimization
Convex reformulation
Second-order cone programming
description This paper deals with the multi-objective operation of battery energy storage systems (BESS) in AC distribution systems using a convex reformulation. The objective functions are CO2 emissions, and the costs of the daily energy losses are considered. The conventional non-linear nonconvex branch multi-period optimal power flow model is reformulated with a second-order cone programming (SOCP) model, which ensures finding the global optimum for each point present in the Pareto front. The weighting factors methodology is used to convert the multi-objective model into a convex single-objective model, which allows for finding the optimal Pareto front using an iterative search. Two operational scenarios regarding BESS are considered: (i) a unity power factor operation and (ii) a variable power factor operation. The numerical results demonstrate that including the reactive power capabilities in BESS reduces 200 kg of CO2 emissions and USD 80 per day of operation. All of the numerical validations were developed in MATLAB 2020b with the CVX tool and the SEDUMI and SDPT3 solvers
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-12-10
dc.date.accessioned.none.fl_str_mv 2022-03-18T18:33:18Z
dc.date.available.none.fl_str_mv 2022-03-18T18:33:18Z
dc.date.submitted.none.fl_str_mv 2022-03-18
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/restrictedAccess
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dc.identifier.citation.spa.fl_str_mv Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Escobar-Mejía, A. Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation. Computation 2021, 9, 137. https://doi.org/10.3390/computation9120137
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/10625
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/computation9120137
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Escobar-Mejía, A. Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation. Computation 2021, 9, 137. https://doi.org/10.3390/computation9120137
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/10625
https://doi.org/10.3390/computation9120137
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
rights_invalid_str_mv 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 17 Páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv Computation 2021, 9, 137
institution Universidad Tecnológica de Bolívar
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spelling Gil González, Walter Julián31e41d1d-191e-4bdd-b623-55ce85a65b9cMontoya Giraldo, Oscar Daniloc66dce06-2f1b-4a61-9631-60e8f37e8432Grisales-Noreña, Luis Fernando7c27cda4-5fe4-4686-8f72-b0442c58a5d1Escobar Mejía, Andrés173b8706-fee3-4635-90b4-9164d42a23e72022-03-18T18:33:18Z2022-03-18T18:33:18Z2021-12-102022-03-18Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Escobar-Mejía, A. Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation. Computation 2021, 9, 137. https://doi.org/10.3390/computation9120137https://hdl.handle.net/20.500.12585/10625https://doi.org/10.3390/computation9120137Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper deals with the multi-objective operation of battery energy storage systems (BESS) in AC distribution systems using a convex reformulation. The objective functions are CO2 emissions, and the costs of the daily energy losses are considered. The conventional non-linear nonconvex branch multi-period optimal power flow model is reformulated with a second-order cone programming (SOCP) model, which ensures finding the global optimum for each point present in the Pareto front. The weighting factors methodology is used to convert the multi-objective model into a convex single-objective model, which allows for finding the optimal Pareto front using an iterative search. Two operational scenarios regarding BESS are considered: (i) a unity power factor operation and (ii) a variable power factor operation. The numerical results demonstrate that including the reactive power capabilities in BESS reduces 200 kg of CO2 emissions and USD 80 per day of operation. All of the numerical validations were developed in MATLAB 2020b with the CVX tool and the SEDUMI and SDPT3 solvers17 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_abf2Computation 2021, 9, 137Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Battery energy storage systemMulti-objective optimization modelDistribution networksNon-linear optimizationConvex reformulationSecond-order cone programmingCartagena de IndiasInvestigadoresKocer, M.C.; Cengiz, C.; Gezer, M.; Gunes, D.; Cinar, M.A.; Alboyaci, B.; Onen, A. Assessment of Battery Storage Technologies for a Turkish Power Network. 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