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Privacy-Preserving Energy Flow Control in Smart Grids
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2276-2079
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-0036-9049
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2016 (English)In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016, IEEE , 2016Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, an energy flow control strategy to reduce the smart meter privacy leakage is studied. The considered smart grid is equipped with an energy storage device. The privacy leakage is modeled as optimal Bayesian detections on the behaviors of the consumer made by an authorized adversary. To evaluate the privacy risk, a Bayesian detection-operational privacy leakage metric is proposed. The design of an optimal privacy-preserving energy control strategy can be formulated as a belief state MDP problem. Therefore, standard methods and algorithms can be utilized to obtain or to approximate the optimal control strategy. A simplified problem to design an instantaneous optimal privacy-preserving control strategy is also considered. It is shown that the problem of the instantaneous optimal control strategy design can be formulated as a set of linear programmings.

Place, publisher, year, edition, pages
IEEE , 2016.
National Category
Communication Systems Control Engineering Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-179716DOI: 10.1109/ICASSP.2016.7472066ISI: 000388373402067Scopus ID: 2-s2.0-84973382871OAI: oai:DiVA.org:kth-179716DiVA: diva2:886160
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016, Shanghai, P. R. China, Mar. 20-25, 2016
Funder
Swedish Research Council, 2015-06815
Note

QC 20160401

Available from: 2015-12-21 Created: 2015-12-21 Last updated: 2017-01-24Bibliographically approved

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