Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

Detalhes bibliográficos
Autor(a) principal: Pinto, Tiago
Data de Publicação: 2021
Outros Autores: Wooldridge, Michael, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/18405
Resumo: This paper explores the aggregation of electricity consumers flexibility. A novel coalitional game theory model for partition function games with non-transferable utility is proposed. This model is used to formalize a game in which electricity consumers find coalitions among themselves in order to trade their consumption flexibility in the electricity market. Utility functions are defined to enable measuring the players preferences. Two case studies are presented, including a simple illustrative case, which assesses and explains the model in detail; and a large-scale scenario based on real data, comprising more than 20,000 consumers. Results show that the proposed model is able to reach solutions that are more suitable for the consumers when compared to the solutions achieved by traditional aggregation techniques in power and energy systems, such as clustering-based methodologies. The solutions found by the proposed model consider the perspectives from all players involved in the game and thus are able to reflect the rational behaviour of the involved players, rather than imposing an aggregation solution that is only beneficial from the perspective of the aggregator.
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spelling Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable UtilityCoalitional game theoryConsumer flexibilityLarge-scale applicationPartition function gamesNon-transferable utilityThis paper explores the aggregation of electricity consumers flexibility. A novel coalitional game theory model for partition function games with non-transferable utility is proposed. This model is used to formalize a game in which electricity consumers find coalitions among themselves in order to trade their consumption flexibility in the electricity market. Utility functions are defined to enable measuring the players preferences. Two case studies are presented, including a simple illustrative case, which assesses and explains the model in detail; and a large-scale scenario based on real data, comprising more than 20,000 consumers. Results show that the proposed model is able to reach solutions that are more suitable for the consumers when compared to the solutions achieved by traditional aggregation techniques in power and energy systems, such as clustering-based methodologies. The solutions found by the proposed model consider the perspectives from all players involved in the game and thus are able to reflect the rational behaviour of the involved players, rather than imposing an aggregation solution that is only beneficial from the perspective of the aggregator.This work was supported in part by the European Union's Horizon 2020 research and innovation programme through project DOMINOES under Grant 771066, in part by the FEDER Funds through COMPETE program, and in part by the National Funds through FCT under Project CEECIND/01811/2017 and Project UID/EEA/00760/2019.IEEERepositório Científico do Instituto Politécnico do PortoPinto, TiagoWooldridge, MichaelVale, Zita2021-09-17T11:12:30Z2021-032021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/18405eng10.1109/ACCESS.2021.3069416info: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:RCAAP2023-03-13T13:09:41Zoai:recipp.ipp.pt:10400.22/18405Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:37:51.924550Repositório 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 Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
title Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
spellingShingle Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
Pinto, Tiago
Coalitional game theory
Consumer flexibility
Large-scale application
Partition function games
Non-transferable utility
title_short Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
title_full Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
title_fullStr Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
title_full_unstemmed Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
title_sort Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility
author Pinto, Tiago
author_facet Pinto, Tiago
Wooldridge, Michael
Vale, Zita
author_role author
author2 Wooldridge, Michael
Vale, Zita
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Pinto, Tiago
Wooldridge, Michael
Vale, Zita
dc.subject.por.fl_str_mv Coalitional game theory
Consumer flexibility
Large-scale application
Partition function games
Non-transferable utility
topic Coalitional game theory
Consumer flexibility
Large-scale application
Partition function games
Non-transferable utility
description This paper explores the aggregation of electricity consumers flexibility. A novel coalitional game theory model for partition function games with non-transferable utility is proposed. This model is used to formalize a game in which electricity consumers find coalitions among themselves in order to trade their consumption flexibility in the electricity market. Utility functions are defined to enable measuring the players preferences. Two case studies are presented, including a simple illustrative case, which assesses and explains the model in detail; and a large-scale scenario based on real data, comprising more than 20,000 consumers. Results show that the proposed model is able to reach solutions that are more suitable for the consumers when compared to the solutions achieved by traditional aggregation techniques in power and energy systems, such as clustering-based methodologies. The solutions found by the proposed model consider the perspectives from all players involved in the game and thus are able to reflect the rational behaviour of the involved players, rather than imposing an aggregation solution that is only beneficial from the perspective of the aggregator.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-17T11:12:30Z
2021-03
2021-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/18405
url http://hdl.handle.net/10400.22/18405
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/ACCESS.2021.3069416
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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