Affordable Privacy for Home Smart Meters

Smart metering is an essential element of the future smart grid development. However, frequent data collected by home smart meters reveal a wealth of information about residential appliance usage. This gives rise to the smart metering privacy problem. Smart metering data privacy can be protected by using a battery to mask energy usage profiles. However, such a system privately modifies usage consumption patterns and it may induce a cost depending on battery performance and dynamic utility pricing. The aim of this paper is to show a) how information theoretic anonymity metrics can be used to measure the privacy protection offered by a water-filling power transformation algorithm, b) how a good level of protection and a low maintenance cost can be obtained with reasonably sized batteries, and c) what is the impact on the utility and price. Our initial cost analysis results suggest that it is possible to communicate granular smart metering information, protect the consumers' privacy at a low cost, and promote load balancing in the smart grid. That renders our privacy protection system affordable.

[1]  L. Yue.  Solar power generation , 1987 .

[2]  Lawrence H. Thaller,et al.  A prediction model of the depth-of-discharge effect on the cycle life of a storage cell , 1987 .

[3]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[4]  G. W. Hart,et al.  Nonintrusive appliance load monitoring , 1992, Proc. IEEE.

[5]  Bart Preneel,et al.  Towards Measuring Anonymity , 2002, Privacy Enhancing Technologies.

[6]  Jun Pang,et al.  Measuring Anonymity with Relative Entropy , 2006, Formal Aspects in Security and Trust.

[7]  H. Y. Lam,et al.  A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof , 2007, IEEE Transactions on Consumer Electronics.

[8]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

[9]  E. Quinn.  Privacy and the New Energy Infrastructure , 2009 .

[10]  Georgios Kalogridis,et al.  Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[11]  Mahesh Sooriyabandara,et al.  The new frontier of communications research: smart grid and smart metering , 2010, e-Energy.

[12]  A. Cavoukian,et al.  SmartPrivacy for the Smart Grid: embedding privacy into the design of electricity conservation , 2010 .

[13]  Georgios Kalogridis,et al.  Smart Grid Privacy via Anonymization of Smart Metering Data , 2010, 2010 First IEEE International Conference on Smart Grid Communications.