Distributed Energy Resources Scheduling with Demand Response Complex Contract
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/18409 |
Resumo: | Demand response is a very flexible way to improve distributed energy resources scheduling. The innovative contribution of this paper is to include in the model complex contracts approach, which can accommodate constraints according to the particular expectations of each player. Such contracts are included in the distributed energy resources scheduling optimization to dispatch demand response according to the consumers expectations. Multiperiod demand response events are considered. In this way, consumers can specify limits on the time, power, and remuneration regarding participation in demand response events, in a way that has not been considered in the literature. The state of the art treats these aspects separately or using a statistic approach, without providing consumers with options to combine their preferences regarding different aspects of their flexibility deployment. The model has been validated for 218 consumers using several scenarios and different types of distributed generation, showing that it is possible to increase demand response respecting consumers preferences. |
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Distributed Energy Resources Scheduling with Demand Response Complex ContractComplex contractsDemand responseDistributed generationVirtual power playerDemand response is a very flexible way to improve distributed energy resources scheduling. The innovative contribution of this paper is to include in the model complex contracts approach, which can accommodate constraints according to the particular expectations of each player. Such contracts are included in the distributed energy resources scheduling optimization to dispatch demand response according to the consumers expectations. Multiperiod demand response events are considered. In this way, consumers can specify limits on the time, power, and remuneration regarding participation in demand response events, in a way that has not been considered in the literature. The state of the art treats these aspects separately or using a statistic approach, without providing consumers with options to combine their preferences regarding different aspects of their flexibility deployment. The model has been validated for 218 consumers using several scenarios and different types of distributed generation, showing that it is possible to increase demand response respecting consumers preferences.This work has received funding from the COLORS Project, from FEDER Funds through COMPETE Program, and from National Funds through (FCT) under the project UIDB/00760/2020, and CEECIND/02887/2017.IEEERepositório Científico do Instituto Politécnico do PortoFaria, PedroVale, Zita2021-09-17T13:18:14Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/18409eng10.35833/MPCE.2020.000317info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:09:42Zoai:recipp.ipp.pt:10400.22/18409Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:37:52.172322Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
title |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
spellingShingle |
Distributed Energy Resources Scheduling with Demand Response Complex Contract Faria, Pedro Complex contracts Demand response Distributed generation Virtual power player |
title_short |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
title_full |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
title_fullStr |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
title_full_unstemmed |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
title_sort |
Distributed Energy Resources Scheduling with Demand Response Complex Contract |
author |
Faria, Pedro |
author_facet |
Faria, Pedro Vale, Zita |
author_role |
author |
author2 |
Vale, Zita |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Faria, Pedro Vale, Zita |
dc.subject.por.fl_str_mv |
Complex contracts Demand response Distributed generation Virtual power player |
topic |
Complex contracts Demand response Distributed generation Virtual power player |
description |
Demand response is a very flexible way to improve distributed energy resources scheduling. The innovative contribution of this paper is to include in the model complex contracts approach, which can accommodate constraints according to the particular expectations of each player. Such contracts are included in the distributed energy resources scheduling optimization to dispatch demand response according to the consumers expectations. Multiperiod demand response events are considered. In this way, consumers can specify limits on the time, power, and remuneration regarding participation in demand response events, in a way that has not been considered in the literature. The state of the art treats these aspects separately or using a statistic approach, without providing consumers with options to combine their preferences regarding different aspects of their flexibility deployment. The model has been validated for 218 consumers using several scenarios and different types of distributed generation, showing that it is possible to increase demand response respecting consumers preferences. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2021-09-17T13:18:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/18409 |
url |
http://hdl.handle.net/10400.22/18409 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.35833/MPCE.2020.000317 |
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.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
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instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1817551116199526400 |