Combining real-time and fixed tariffs in the demand response aggregation and remuneration

Bibliographic Details
Main Author: Silva, Cátia
Publication Date: 2020
Other Authors: Faria, Pedro, Vale, Zita
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/16848
Summary: The current Energy Market is not yet ready for the integration of the Smart Grid context. Concepts such as Demand Response and Distributed Generation, namely renewable energy resources, are not yet included in current business models in order to the system flow properly. Therefore, the authors propose a methodology that gathers all these concepts through the optimization, aggregation and remuneration of resources. The purpose of this paper will be to study the influence of the tariff used for the remuneration and incentive of the participants in the formation of the groups in the aggregation phase. Three studies were performed: aggregation with only the result of the optimization (schedule power for each resource); this result and the fixed tariff associated with each resource; result and a new tariff that considers real-time values.
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spelling Combining real-time and fixed tariffs in the demand response aggregation and remunerationAggregationClusteringDistributed generationRemunerationThe current Energy Market is not yet ready for the integration of the Smart Grid context. Concepts such as Demand Response and Distributed Generation, namely renewable energy resources, are not yet included in current business models in order to the system flow properly. Therefore, the authors propose a methodology that gathers all these concepts through the optimization, aggregation and remuneration of resources. The purpose of this paper will be to study the influence of the tariff used for the remuneration and incentive of the participants in the formation of the groups in the aggregation phase. Three studies were performed: aggregation with only the result of the optimization (schedule power for each resource); this result and the fixed tariff associated with each resource; result and a new tariff that considers real-time values.ElsevierREPOSITÓRIO P.PORTOSilva, CátiaFaria, PedroVale, Zita2021-02-03T14:44:39Z20202020-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/16848eng10.1016/j.egyr.2019.08.028info: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:RCAAP2025-04-02T03:33:03Zoai:recipp.ipp.pt:10400.22/16848Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:59:55.939064Repositórios 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 Combining real-time and fixed tariffs in the demand response aggregation and remuneration
title Combining real-time and fixed tariffs in the demand response aggregation and remuneration
spellingShingle Combining real-time and fixed tariffs in the demand response aggregation and remuneration
Silva, Cátia
Aggregation
Clustering
Distributed generation
Remuneration
title_short Combining real-time and fixed tariffs in the demand response aggregation and remuneration
title_full Combining real-time and fixed tariffs in the demand response aggregation and remuneration
title_fullStr Combining real-time and fixed tariffs in the demand response aggregation and remuneration
title_full_unstemmed Combining real-time and fixed tariffs in the demand response aggregation and remuneration
title_sort Combining real-time and fixed tariffs in the demand response aggregation and remuneration
author Silva, Cátia
author_facet Silva, Cátia
Faria, Pedro
Vale, Zita
author_role author
author2 Faria, Pedro
Vale, Zita
author2_role author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Silva, Cátia
Faria, Pedro
Vale, Zita
dc.subject.por.fl_str_mv Aggregation
Clustering
Distributed generation
Remuneration
topic Aggregation
Clustering
Distributed generation
Remuneration
description The current Energy Market is not yet ready for the integration of the Smart Grid context. Concepts such as Demand Response and Distributed Generation, namely renewable energy resources, are not yet included in current business models in order to the system flow properly. Therefore, the authors propose a methodology that gathers all these concepts through the optimization, aggregation and remuneration of resources. The purpose of this paper will be to study the influence of the tariff used for the remuneration and incentive of the participants in the formation of the groups in the aggregation phase. Three studies were performed: aggregation with only the result of the optimization (schedule power for each resource); this result and the fixed tariff associated with each resource; result and a new tariff that considers real-time values.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-02-03T14:44:39Z
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/10400.22/16848
url http://hdl.handle.net/10400.22/16848
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.egyr.2019.08.028
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 Elsevier
publisher.none.fl_str_mv Elsevier
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