Privacy-Preserving Energy Flow Control in Smart Grids
2016 (English)In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016, IEEE , 2016Conference paper (Refereed)
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.
Communication Systems Control Engineering Signal Processing
IdentifiersURN: urn:nbn:se:kth:diva-179716DOI: 10.1109/ICASSP.2016.7472066ScopusID: 2-s2.0-84973382871OAI: oai:DiVA.org:kth-179716DiVA: diva2:886160
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016, Shanghai, P. R. China, Mar. 20-25, 2016
FunderSwedish Research Council, 2015-06815
QC 201604012015-12-212015-12-212016-07-18Bibliographically approved