A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets

This article studies the exchange of self-produced renewable energy between prosumers (and with pure end consumers), through the discrete trading of energy packages and proposes a framework for optimizing this exchange. In order to mitigate the imbalances derived from discrepancies between productio...

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Autores: Báez González, Pablo, García-Torres, Félix, Ridao Carlini, Miguel Ángel, Bordons Alba, Carlos
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/102128
Acceso en línea:https://hdl.handle.net/11441/102128
https://doi.org/10.3390/en13143751
Access Level:acceso abierto
Palabra clave:Energy trading
Microgrids
Peer to peer
Stochastic
Model predictive control
Energy management system
Prosumers
Continuous market
Discrete market
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spelling A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy MarketsBáez González, PabloGarcía-Torres, FélixRidao Carlini, Miguel ÁngelBordons Alba, CarlosEnergy tradingMicrogridsPeer to peerStochasticModel predictive controlEnergy management systemProsumersContinuous marketDiscrete marketThis article studies the exchange of self-produced renewable energy between prosumers (and with pure end consumers), through the discrete trading of energy packages and proposes a framework for optimizing this exchange. In order to mitigate the imbalances derived from discrepancies between production and consumption and their respective forecasts, the simultaneous continuous trading of instantaneous power quotas is proposed, giving rise to a time-ahead market running in parallel with a real-time one. An energy management system (EMS) based on stochastic model predictive control (SMPC) simultaneously determines the optimal bidding strategies for both markets, as well as the optimal utilisation of any energy storage system (ESS). Simulations carried out for a heterogeneous group of agents show that those with SMPC-EMS achieve savings of between 3% and 15% in their energy operation economic result. The proposed structures allows the peer-to-peer (P2P) energy trading between end users without ESS and constitute a viable alternative to avoid deviation penalties in secondary regulation markets.Ministerio de Economía y Competitividad ‘Retos Investigación 2016’ DPI2016-78338-RMDPIIngeniería de Sistemas y AutomáticaMinisterio de Economía y Competitividad (MINECO). España2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/102128https://doi.org/10.3390/en13143751reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 13 (14). Article number 3751.DPI2016-78338-Rhttps://doi.org/10.3390/en13143751info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1021282026-06-17T12:51:07Z
dc.title.none.fl_str_mv A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
title A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
spellingShingle A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
Báez González, Pablo
Energy trading
Microgrids
Peer to peer
Stochastic
Model predictive control
Energy management system
Prosumers
Continuous market
Discrete market
title_short A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
title_full A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
title_fullStr A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
title_full_unstemmed A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
title_sort A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets
dc.creator.none.fl_str_mv Báez González, Pablo
García-Torres, Félix
Ridao Carlini, Miguel Ángel
Bordons Alba, Carlos
author Báez González, Pablo
author_facet Báez González, Pablo
García-Torres, Félix
Ridao Carlini, Miguel Ángel
Bordons Alba, Carlos
author_role author
author2 García-Torres, Félix
Ridao Carlini, Miguel Ángel
Bordons Alba, Carlos
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
Ministerio de Economía y Competitividad (MINECO). España
dc.subject.none.fl_str_mv Energy trading
Microgrids
Peer to peer
Stochastic
Model predictive control
Energy management system
Prosumers
Continuous market
Discrete market
topic Energy trading
Microgrids
Peer to peer
Stochastic
Model predictive control
Energy management system
Prosumers
Continuous market
Discrete market
description This article studies the exchange of self-produced renewable energy between prosumers (and with pure end consumers), through the discrete trading of energy packages and proposes a framework for optimizing this exchange. In order to mitigate the imbalances derived from discrepancies between production and consumption and their respective forecasts, the simultaneous continuous trading of instantaneous power quotas is proposed, giving rise to a time-ahead market running in parallel with a real-time one. An energy management system (EMS) based on stochastic model predictive control (SMPC) simultaneously determines the optimal bidding strategies for both markets, as well as the optimal utilisation of any energy storage system (ESS). Simulations carried out for a heterogeneous group of agents show that those with SMPC-EMS achieve savings of between 3% and 15% in their energy operation economic result. The proposed structures allows the peer-to-peer (P2P) energy trading between end users without ESS and constitute a viable alternative to avoid deviation penalties in secondary regulation markets.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/102128
https://doi.org/10.3390/en13143751
url https://hdl.handle.net/11441/102128
https://doi.org/10.3390/en13143751
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 13 (14). Article number 3751.
DPI2016-78338-R
https://doi.org/10.3390/en13143751
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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