Flexible smart energy-management systems using an online tendering process framework for microgrids

Currently, modern power grids are evolving into complex cyber-physical systems integrated with distributed energy resources that can be controlled and monitored by computer-based algorithms. Given the increasing prevalence of artificial intelligence algorithms, it is essential to explore the possibi...

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Detalles Bibliográficos
Autores: Selseleh Jonban, Mansour|||0000-0003-1090-1390, Romeral Martínez, José Luis|||0000-0001-8112-8038, Rakhshani, Elyas, Marzband, Mousa
Tipo de recurso: artículo
Fecha de publicación:2023
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:2117/406447
Acceso en línea:https://hdl.handle.net/2117/406447
https://dx.doi.org/10.3390/en16134914
Access Level:acceso abierto
Palabra clave:Microgrids (Smart power grids)
Electric power distribution)
Energy-management system
Multi-agent system
Tendering process framework
First-price sealed-bid algorithm
Bottom-up approach
DC microgrid
Microxarxes (Xarxes elèctriques intel·ligents)
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica::Xarxes elèctriques
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network_name_str España
repository_id_str
spelling Flexible smart energy-management systems using an online tendering process framework for microgridsSelseleh Jonban, Mansour|||0000-0003-1090-1390Romeral Martínez, José Luis|||0000-0001-8112-8038Rakhshani, ElyasMarzband, MousaMicrogrids (Smart power grids)Electric power distribution)Energy-management systemMulti-agent systemTendering process frameworkFirst-price sealed-bid algorithmBottom-up approachDC microgridMicroxarxes (Xarxes elèctriques intel·ligents)Energia elèctrica--DistribucióÀrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica::Xarxes elèctriquesCurrently, modern power grids are evolving into complex cyber-physical systems integrated with distributed energy resources that can be controlled and monitored by computer-based algorithms. Given the increasing prevalence of artificial intelligence algorithms, it is essential to explore the possibility of energy management in microgrids by implementing control methodologies with advanced processing centers. This study proposes a novel smart multi-agent-based framework under a tendering process framework with a bottom-up approach to control and manage the flow of energy into a grid-connected microgrid (MG). The tendering organization in this structure as an upstream agent allocates demand among generators, creates a balance between supply and demand, and provides optimal energy cost for the MG. To optimize the electricity cost and decrease the use of grid power, the first-price sealed-bid (FPSB) algorithm is implemented over the tendering process. The proposed approach from one side optimally allocates energy among generators, and, from the other side, guarantees the system from blackouts. Theoretical analysis and results demonstrate that the proposed technique is easy to implement and provides a robust and stable control for MGs, which can guarantee energy management as well as flexible and online control. Furthermore, results show the proposed framework besides the real-time allocation of power among providers to optimize the injected power from the grid so that the total injected power by the grid is 146.92 kWh and the injected power to the grid is 214.34 kWh.20232023-07-0120242024-04-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/406447https://dx.doi.org/10.3390/en16134914reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4064472026-05-27T15:37:01Z
dc.title.none.fl_str_mv Flexible smart energy-management systems using an online tendering process framework for microgrids
title Flexible smart energy-management systems using an online tendering process framework for microgrids
spellingShingle Flexible smart energy-management systems using an online tendering process framework for microgrids
Selseleh Jonban, Mansour|||0000-0003-1090-1390
Microgrids (Smart power grids)
Electric power distribution)
Energy-management system
Multi-agent system
Tendering process framework
First-price sealed-bid algorithm
Bottom-up approach
DC microgrid
Microxarxes (Xarxes elèctriques intel·ligents)
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica::Xarxes elèctriques
title_short Flexible smart energy-management systems using an online tendering process framework for microgrids
title_full Flexible smart energy-management systems using an online tendering process framework for microgrids
title_fullStr Flexible smart energy-management systems using an online tendering process framework for microgrids
title_full_unstemmed Flexible smart energy-management systems using an online tendering process framework for microgrids
title_sort Flexible smart energy-management systems using an online tendering process framework for microgrids
dc.creator.none.fl_str_mv Selseleh Jonban, Mansour|||0000-0003-1090-1390
Romeral Martínez, José Luis|||0000-0001-8112-8038
Rakhshani, Elyas
Marzband, Mousa
author Selseleh Jonban, Mansour|||0000-0003-1090-1390
author_facet Selseleh Jonban, Mansour|||0000-0003-1090-1390
Romeral Martínez, José Luis|||0000-0001-8112-8038
Rakhshani, Elyas
Marzband, Mousa
author_role author
author2 Romeral Martínez, José Luis|||0000-0001-8112-8038
Rakhshani, Elyas
Marzband, Mousa
author2_role author
author
author
dc.subject.none.fl_str_mv Microgrids (Smart power grids)
Electric power distribution)
Energy-management system
Multi-agent system
Tendering process framework
First-price sealed-bid algorithm
Bottom-up approach
DC microgrid
Microxarxes (Xarxes elèctriques intel·ligents)
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica::Xarxes elèctriques
topic Microgrids (Smart power grids)
Electric power distribution)
Energy-management system
Multi-agent system
Tendering process framework
First-price sealed-bid algorithm
Bottom-up approach
DC microgrid
Microxarxes (Xarxes elèctriques intel·ligents)
Energia elèctrica--Distribució
Àrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica::Xarxes elèctriques
description Currently, modern power grids are evolving into complex cyber-physical systems integrated with distributed energy resources that can be controlled and monitored by computer-based algorithms. Given the increasing prevalence of artificial intelligence algorithms, it is essential to explore the possibility of energy management in microgrids by implementing control methodologies with advanced processing centers. This study proposes a novel smart multi-agent-based framework under a tendering process framework with a bottom-up approach to control and manage the flow of energy into a grid-connected microgrid (MG). The tendering organization in this structure as an upstream agent allocates demand among generators, creates a balance between supply and demand, and provides optimal energy cost for the MG. To optimize the electricity cost and decrease the use of grid power, the first-price sealed-bid (FPSB) algorithm is implemented over the tendering process. The proposed approach from one side optimally allocates energy among generators, and, from the other side, guarantees the system from blackouts. Theoretical analysis and results demonstrate that the proposed technique is easy to implement and provides a robust and stable control for MGs, which can guarantee energy management as well as flexible and online control. Furthermore, results show the proposed framework besides the real-time allocation of power among providers to optimize the injected power from the grid so that the total injected power by the grid is 146.92 kWh and the injected power to the grid is 214.34 kWh.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-07-01
2024
2024-04-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/406447
https://dx.doi.org/10.3390/en16134914
url https://hdl.handle.net/2117/406447
https://dx.doi.org/10.3390/en16134914
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 4.0 International
http://creativecommons.org/licenses/by/4.0/
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 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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
_version_ 1869405443065905152
score 15.301603

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