Smart Meter Privacy with Renewable Energy and an Energy Storage Device

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Title: Smart Meter Privacy with Renewable Energy and an Energy Storage Device
Authors: Giaconi, G
Gunduz, D
Poor, HV
Item Type: Journal Article
Abstract: A smart meter (SM) measures a consumer’s electricity consumption and reports it automatically to a utility provider (UP) in almost real time. Despite many advantages of SMs, their use also leads to serious concerns about consumer privacy. In this paper, SM privacy is studied by considering the presence of a renewable energy source (RES) and a rechargeable battery (RB), which can be used to partially hide the consumer’s energy consumption behavior. Privacy is measured by the information leakage rate, which denotes the average mutual information between the user’s real energy consumption and the energy requested from the grid, which the SM reads and reports to the UP. The impact of the knowledge of the amount of energy generated by the RES at the UP is also considered. The minimum information leakage rate is characterized as a computable information theoretic single-letter expression in the two extreme cases, that is, when the battery capacity is infinite or zero. Numerical results are presented for the finite battery capacity case to illustrate the potential privacy gains from the existence of an RB. It is shown that, while the information leakage rate decreases with increasing availability of an RES, larger storage capacity is needed to fully exploit the available energy to improve the privacy.
Issue Date: 24-Aug-2017
Date of Acceptance: 13-Aug-2017
URI: http://hdl.handle.net/10044/1/50421
DOI: https://dx.doi.org/10.1109/TIFS.2017.2744601
ISSN: 1556-6013
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 129
End Page: 142
Journal / Book Title: IEEE Transactions on Information Forensics and Security
Volume: 13
Issue: 1
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (E
Commission of the European Communities
Funder's Grant Number: EP/N021738/1
677854
Keywords: Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Information theory
mutual information
privacy
smart grids
smart meter
renewable energy sources
energy storage
load management
COMPUTATION
CHANNELS
08 Information And Computing Sciences
09 Engineering
Strategic, Defence & Security Studies
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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