A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks

This article proposes an algorithm to obtain an optimal local solution for the network planning process related to the optimal integration of different renewable energy sources (RES) and different BatteryEnergy Storage Systems (BESS) into a distribution network (DN). The algorithm provides strategic...

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Autores: García Muñoz, Fernando Esteban|||0000-0001-9376-4357, Díaz González, Francisco|||0000-0002-1912-3014, Corchero García, Cristina|||0000-0002-8465-0830
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/351022
Acceso en línea:https://hdl.handle.net/2117/351022
https://dx.doi.org/10.1016/j.segan.2021.100497
Access Level:acceso abierto
Palabra clave:Energy storage
Electric power distribution
Renewable energy sources
Distributed generation
Distribution networks
Energy storage systems
Power system planning
Energia -- Emmagatzematge
Energia elèctrica -- Distribució
Energies renovables
Àrees temàtiques de la UPC::Enginyeria elèctrica
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oai_identifier_str oai:upcommons.upc.edu:2117/351022
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repository_id_str
spelling A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networksGarcía Muñoz, Fernando Esteban|||0000-0001-9376-4357Díaz González, Francisco|||0000-0002-1912-3014Corchero García, Cristina|||0000-0002-8465-0830Energy storageElectric power distributionRenewable energy sourcesDistributed generationDistribution networksEnergy storage systemsPower system planningRenewable energy sourcesEnergia -- EmmagatzematgeEnergia elèctrica -- DistribucióEnergies renovablesÀrees temàtiques de la UPC::Enginyeria elèctricaThis article proposes an algorithm to obtain an optimal local solution for the network planning process related to the optimal integration of different renewable energy sources (RES) and different BatteryEnergy Storage Systems (BESS) into a distribution network (DN). The algorithm provides strategicinformation related to investment and operation costs regarding the type of technology, location,and sizing. The mathematical formulation is based on an AC optimal power flow (OPF) to ensurethe network’s minimal stability conditions. Besides, through the use of linearization and a modifiedversion of a genetic algorithm (GA), the algorithm proposed breaks the 24 h wall, used until now inthe literature, and extend it to 8760 h, which represents a much more realistic scenario to define thestorage and power generation capacity of a DN in a planning context. The algorithm has been testedin a modified version of the IEEE 33-bus considering two cases of study: an off-grid case and grid-connected case, to measure the CapEx and OpEx variability, achieving to show that a grid-connectedsystem reduces the installed capacity of DG and BESS in 37.4% and the CapEx 22.8%Peer ReviewedElsevier20212021-09-0120212021-09-10journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/351022https://dx.doi.org/10.1016/j.segan.2021.100497reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3510222026-05-27T15:37:01Z
dc.title.none.fl_str_mv A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
title A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
spellingShingle A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
García Muñoz, Fernando Esteban|||0000-0001-9376-4357
Energy storage
Electric power distribution
Renewable energy sources
Distributed generation
Distribution networks
Energy storage systems
Power system planning
Renewable energy sources
Energia -- Emmagatzematge
Energia elèctrica -- Distribució
Energies renovables
Àrees temàtiques de la UPC::Enginyeria elèctrica
title_short A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
title_full A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
title_fullStr A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
title_full_unstemmed A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
title_sort A novel algorithm based on the combination of AC-OPF and GA for the optimal sizing and location of DERs into distribution networks
dc.creator.none.fl_str_mv García Muñoz, Fernando Esteban|||0000-0001-9376-4357
Díaz González, Francisco|||0000-0002-1912-3014
Corchero García, Cristina|||0000-0002-8465-0830
author García Muñoz, Fernando Esteban|||0000-0001-9376-4357
author_facet García Muñoz, Fernando Esteban|||0000-0001-9376-4357
Díaz González, Francisco|||0000-0002-1912-3014
Corchero García, Cristina|||0000-0002-8465-0830
author_role author
author2 Díaz González, Francisco|||0000-0002-1912-3014
Corchero García, Cristina|||0000-0002-8465-0830
author2_role author
author
dc.subject.none.fl_str_mv Energy storage
Electric power distribution
Renewable energy sources
Distributed generation
Distribution networks
Energy storage systems
Power system planning
Renewable energy sources
Energia -- Emmagatzematge
Energia elèctrica -- Distribució
Energies renovables
Àrees temàtiques de la UPC::Enginyeria elèctrica
topic Energy storage
Electric power distribution
Renewable energy sources
Distributed generation
Distribution networks
Energy storage systems
Power system planning
Renewable energy sources
Energia -- Emmagatzematge
Energia elèctrica -- Distribució
Energies renovables
Àrees temàtiques de la UPC::Enginyeria elèctrica
description This article proposes an algorithm to obtain an optimal local solution for the network planning process related to the optimal integration of different renewable energy sources (RES) and different BatteryEnergy Storage Systems (BESS) into a distribution network (DN). The algorithm provides strategicinformation related to investment and operation costs regarding the type of technology, location,and sizing. The mathematical formulation is based on an AC optimal power flow (OPF) to ensurethe network’s minimal stability conditions. Besides, through the use of linearization and a modifiedversion of a genetic algorithm (GA), the algorithm proposed breaks the 24 h wall, used until now inthe literature, and extend it to 8760 h, which represents a much more realistic scenario to define thestorage and power generation capacity of a DN in a planning context. The algorithm has been testedin a modified version of the IEEE 33-bus considering two cases of study: an off-grid case and grid-connected case, to measure the CapEx and OpEx variability, achieving to show that a grid-connectedsystem reduces the installed capacity of DG and BESS in 37.4% and the CapEx 22.8%
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-09-01
2021
2021-09-10
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/351022
https://dx.doi.org/10.1016/j.segan.2021.100497
url https://hdl.handle.net/2117/351022
https://dx.doi.org/10.1016/j.segan.2021.100497
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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