Networked microgrid energy management based on supervised and unsupervised learning clustering

Networked microgrid (NMG) is a novel conceptual paradigm that can bring multiple advantages to the distributed system. Increasing renewable energy utilization, reliability and efficiency of system operation and flexibility of energy sharing amongst several microgrids (MGs) are some specific privileg...

ver descrição completa

Detalhes bibliográficos
Autores: Salehi, Navid, Martínez García, Herminio|||0000-0002-7977-2577, Velasco Quesada, Guillermo|||0000-0002-3188-8183
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/373483
Acesso em linha:https://hdl.handle.net/2117/373483
https://dx.doi.org/10.3390/en15134915
Access Level:acceso abierto
Palavra-chave:Microgrids (Smart power grids)
Networked microgrid
Energy management
Clustering
SOM algorithm
k-means algorithm
Microxarxes (Xarxes elèctriques intel·ligents)
Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica
id ES_53b6879d852bb96fb6fde835b25f3cf3
oai_identifier_str oai:upcommons.upc.edu:2117/373483
network_acronym_str ES
network_name_str España
repository_id_str
spelling Networked microgrid energy management based on supervised and unsupervised learning clusteringSalehi, NavidMartínez García, Herminio|||0000-0002-7977-2577Velasco Quesada, Guillermo|||0000-0002-3188-8183Microgrids (Smart power grids)Networked microgridEnergy managementClusteringSOM algorithmk-means algorithmMicroxarxes (Xarxes elèctriques intel·ligents)Àrees temàtiques de la UPC::Enginyeria electrònica::MicroelectrònicaNetworked microgrid (NMG) is a novel conceptual paradigm that can bring multiple advantages to the distributed system. Increasing renewable energy utilization, reliability and efficiency of system operation and flexibility of energy sharing amongst several microgrids (MGs) are some specific privileges of NMG. In this paper, residential MGs, commercial MGs, and industrial MGs are considered as a community of NMG. The loads’ profiles are split into multiple sections to evaluate the maximum load demand (MLD). Based on the optimal operation of each MG, the operating reserve (OR) of the MGs is calculated for each section. Then, the self-organizing map as a supervised and a k-means algorithm as an unsupervised learning clustering method is utilized to cluster the MGs and effective energy-sharing. The clustering is based on the maximum load demand of MGs and the operating reserve of dispatchable energy sources, and the goal is to provide a more efficient system with high reliability. Eventually, the performance of this energy management and its benefits to the whole system is surveyed effectively. The proposed energy management system offers a more reliable system due to the possibility of reserved energy for MGs in case of power outage variation or shortage of power.Peer Reviewed20222022-07-0520222022-09-27journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/373483https://dx.doi.org/10.3390/en15134915reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PGC2018-098946-B-I00 GESTION DE ENERGIA EN MICRO-REDES URBANAS COLABORATIVASopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3734832026-05-27T15:37:01Z
dc.title.none.fl_str_mv Networked microgrid energy management based on supervised and unsupervised learning clustering
title Networked microgrid energy management based on supervised and unsupervised learning clustering
spellingShingle Networked microgrid energy management based on supervised and unsupervised learning clustering
Salehi, Navid
Microgrids (Smart power grids)
Networked microgrid
Energy management
Clustering
SOM algorithm
k-means algorithm
Microxarxes (Xarxes elèctriques intel·ligents)
Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica
title_short Networked microgrid energy management based on supervised and unsupervised learning clustering
title_full Networked microgrid energy management based on supervised and unsupervised learning clustering
title_fullStr Networked microgrid energy management based on supervised and unsupervised learning clustering
title_full_unstemmed Networked microgrid energy management based on supervised and unsupervised learning clustering
title_sort Networked microgrid energy management based on supervised and unsupervised learning clustering
dc.creator.none.fl_str_mv Salehi, Navid
Martínez García, Herminio|||0000-0002-7977-2577
Velasco Quesada, Guillermo|||0000-0002-3188-8183
author Salehi, Navid
author_facet Salehi, Navid
Martínez García, Herminio|||0000-0002-7977-2577
Velasco Quesada, Guillermo|||0000-0002-3188-8183
author_role author
author2 Martínez García, Herminio|||0000-0002-7977-2577
Velasco Quesada, Guillermo|||0000-0002-3188-8183
author2_role author
author
dc.subject.none.fl_str_mv Microgrids (Smart power grids)
Networked microgrid
Energy management
Clustering
SOM algorithm
k-means algorithm
Microxarxes (Xarxes elèctriques intel·ligents)
Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica
topic Microgrids (Smart power grids)
Networked microgrid
Energy management
Clustering
SOM algorithm
k-means algorithm
Microxarxes (Xarxes elèctriques intel·ligents)
Àrees temàtiques de la UPC::Enginyeria electrònica::Microelectrònica
description Networked microgrid (NMG) is a novel conceptual paradigm that can bring multiple advantages to the distributed system. Increasing renewable energy utilization, reliability and efficiency of system operation and flexibility of energy sharing amongst several microgrids (MGs) are some specific privileges of NMG. In this paper, residential MGs, commercial MGs, and industrial MGs are considered as a community of NMG. The loads’ profiles are split into multiple sections to evaluate the maximum load demand (MLD). Based on the optimal operation of each MG, the operating reserve (OR) of the MGs is calculated for each section. Then, the self-organizing map as a supervised and a k-means algorithm as an unsupervised learning clustering method is utilized to cluster the MGs and effective energy-sharing. The clustering is based on the maximum load demand of MGs and the operating reserve of dispatchable energy sources, and the goal is to provide a more efficient system with high reliability. Eventually, the performance of this energy management and its benefits to the whole system is surveyed effectively. The proposed energy management system offers a more reliable system due to the possibility of reserved energy for MGs in case of power outage variation or shortage of power.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-07-05
2022
2022-09-27
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/2117/373483
https://dx.doi.org/10.3390/en15134915
url https://hdl.handle.net/2117/373483
https://dx.doi.org/10.3390/en15134915
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PGC2018-098946-B-I00 GESTION DE ENERGIA EN MICRO-REDES URBANAS COLABORATIVAS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
https://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
https://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_ 1869408135283736576
score 15,301603

Registos relacionados