Privacy-Cost Trade-offs in Demand-Side Management With Storage

Demand-side energy management (EM) is studied from a privacy-cost trade-off perspective, considering time-of-use pricing and the presence of an energy storage unit. Privacy is measured as the variation of the power withdrawn from the grid from a fixed target value. Assuming non-causal knowledge of t...

Descripción completa

Detalles Bibliográficos
Autor: Gomez-Vilardebo J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p3424
Acceso en línea:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3424
Access Level:acceso abierto
Palabra clave:Smart meter
privacy
demand-side management
energy storage
home energy management
id ES_4bfdf3ba093655eee4bce0bacef7fff7
oai_identifier_str oai:cttc.fundanetsuite.com:p3424
network_acronym_str ES
network_name_str España
repository_id_str
spelling Privacy-Cost Trade-offs in Demand-Side Management With StorageGomez-Vilardebo J.Smart meterprivacydemand-side managementenergy storagehome energy managementDemand-side energy management (EM) is studied from a privacy-cost trade-off perspective, considering time-of-use pricing and the presence of an energy storage unit. Privacy is measured as the variation of the power withdrawn from the grid from a fixed target value. Assuming non-causal knowledge of the household's aggregate power demand profile and the electricity prices at the energy management unit (EMU), the privacy-cost trade-off is formulated as a convex optimization problem, and a low-complexity backward water-filling algorithm is proposed to compute the optimal EM policy. The problem is studied also in the online setting assuming that the power demand profile is known to the EMU only causally, and the optimal EM policy is obtained numerically through dynamic programming (DP). Due to the high computational cost of DP, a low-complexity heuristic EM policy with a performance close to the optimal online solution is also proposed, exploiting the water-filling algorithm obtained in the offline setting. As an alternative, information theoretic leakage rate is also evaluated, and shown to follow a similar trend as the load variance, which supports the validity of the load variance as a measure of privacy. Finally, the privacy-cost trade-off, and the impact of the size of the storage unit on this trade-off are studied through numerical simulations using real smart meter data in both the offline and online settings.Institute of Electrical and Electronics Engineers Inc.2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3424IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITYISSN: 15566013ISSNe: 15566021reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)Inglésinfo:eu-repo/semantics/openAccessoai:cttc.fundanetsuite.com:p34242026-06-17T11:44:47Z
dc.title.none.fl_str_mv Privacy-Cost Trade-offs in Demand-Side Management With Storage
title Privacy-Cost Trade-offs in Demand-Side Management With Storage
spellingShingle Privacy-Cost Trade-offs in Demand-Side Management With Storage
Gomez-Vilardebo J.
Smart meter
privacy
demand-side management
energy storage
home energy management
title_short Privacy-Cost Trade-offs in Demand-Side Management With Storage
title_full Privacy-Cost Trade-offs in Demand-Side Management With Storage
title_fullStr Privacy-Cost Trade-offs in Demand-Side Management With Storage
title_full_unstemmed Privacy-Cost Trade-offs in Demand-Side Management With Storage
title_sort Privacy-Cost Trade-offs in Demand-Side Management With Storage
dc.creator.none.fl_str_mv Gomez-Vilardebo J.
author Gomez-Vilardebo J.
author_facet Gomez-Vilardebo J.
author_role author
dc.subject.none.fl_str_mv Smart meter
privacy
demand-side management
energy storage
home energy management
topic Smart meter
privacy
demand-side management
energy storage
home energy management
description Demand-side energy management (EM) is studied from a privacy-cost trade-off perspective, considering time-of-use pricing and the presence of an energy storage unit. Privacy is measured as the variation of the power withdrawn from the grid from a fixed target value. Assuming non-causal knowledge of the household's aggregate power demand profile and the electricity prices at the energy management unit (EMU), the privacy-cost trade-off is formulated as a convex optimization problem, and a low-complexity backward water-filling algorithm is proposed to compute the optimal EM policy. The problem is studied also in the online setting assuming that the power demand profile is known to the EMU only causally, and the optimal EM policy is obtained numerically through dynamic programming (DP). Due to the high computational cost of DP, a low-complexity heuristic EM policy with a performance close to the optimal online solution is also proposed, exploiting the water-filling algorithm obtained in the offline setting. As an alternative, information theoretic leakage rate is also evaluated, and shown to follow a similar trend as the load variance, which supports the validity of the load variance as a measure of privacy. Finally, the privacy-cost trade-off, and the impact of the size of the storage unit on this trade-off are studied through numerical simulations using real smart meter data in both the offline and online settings.
publishDate 2017
dc.date.none.fl_str_mv 2017
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://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3424
url https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=3424
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
ISSN: 15566013
ISSNe: 15566021
reponame:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
instname_str Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
reponame_str r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
collection r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407598320549888
score 15,808905

Similares en LA Referencia