Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities
Main Author: | |
---|---|
Publication Date: | 2020 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.22/17219 |
Summary: | The demand response program explained in this article is designed to be implemented in communities seeking to achieve a self-sustaining system, namely through renewable energy such as photovoltaic energy. This article, through concepts such as prosumer and clustering, aims to make the most efficient management of the resources provided by the energy community. The developed demand response clusters the different consumers who have the same type of consumption throughout the day. That is, it brings together those whose behavior of the respective loads resemble each other and can be viewed from the perspective of an individual load or even clustered with one or more loads. The study comprises three villages with different numbers of consumers and charges, where, through their participation, it is estimated that there are reductions in electricity bills and, for those who collaborated for the study, it is attributed a remuneration according to their performance. |
id |
RCAP_803d8ac75817e53cb0ecc98d4d0c88f0 |
---|---|
oai_identifier_str |
oai:recipp.ipp.pt:10400.22/17219 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy CommunitiesClusteringDemand responseEnergy CommunitiesProsumerRenewablesSmart gridThe demand response program explained in this article is designed to be implemented in communities seeking to achieve a self-sustaining system, namely through renewable energy such as photovoltaic energy. This article, through concepts such as prosumer and clustering, aims to make the most efficient management of the resources provided by the energy community. The developed demand response clusters the different consumers who have the same type of consumption throughout the day. That is, it brings together those whose behavior of the respective loads resemble each other and can be viewed from the perspective of an individual load or even clustered with one or more loads. The study comprises three villages with different numbers of consumers and charges, where, through their participation, it is estimated that there are reductions in electricity bills and, for those who collaborated for the study, it is attributed a remuneration according to their performance.REPOSITÓRIO P.PORTOBarreto, RúbenFaria, PedroSilva, CátiaVale, Zita2021-03-01T17:56:03Z2020-072020-07-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/17219enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:18:06Zoai:recipp.ipp.pt:10400.22/17219Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:50:48.404380Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
title |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
spellingShingle |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities Barreto, Rúben Clustering Demand response Energy Communities Prosumer Renewables Smart grid |
title_short |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
title_full |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
title_fullStr |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
title_full_unstemmed |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
title_sort |
Clustering Direct Load Control Appliances in the Context of Demand Response Programs in Energy Communities |
author |
Barreto, Rúben |
author_facet |
Barreto, Rúben Faria, Pedro Silva, Cátia Vale, Zita |
author_role |
author |
author2 |
Faria, Pedro Silva, Cátia Vale, Zita |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
dc.contributor.author.fl_str_mv |
Barreto, Rúben Faria, Pedro Silva, Cátia Vale, Zita |
dc.subject.por.fl_str_mv |
Clustering Demand response Energy Communities Prosumer Renewables Smart grid |
topic |
Clustering Demand response Energy Communities Prosumer Renewables Smart grid |
description |
The demand response program explained in this article is designed to be implemented in communities seeking to achieve a self-sustaining system, namely through renewable energy such as photovoltaic energy. This article, through concepts such as prosumer and clustering, aims to make the most efficient management of the resources provided by the energy community. The developed demand response clusters the different consumers who have the same type of consumption throughout the day. That is, it brings together those whose behavior of the respective loads resemble each other and can be viewed from the perspective of an individual load or even clustered with one or more loads. The study comprises three villages with different numbers of consumers and charges, where, through their participation, it is estimated that there are reductions in electricity bills and, for those who collaborated for the study, it is attributed a remuneration according to their performance. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07 2020-07-01T00:00:00Z 2021-03-01T17:56:03Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/17219 |
url |
http://hdl.handle.net/10400.22/17219 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833600721711267840 |