Optimal demand-side management for joint privacy-cost optimization with energy storage

The smart meter (SM) privacy problem is addressed together with the cost of energy for the user. It is assumed that a storage device, e.g., an electrical battery, is available to the user, which can be utilized both to achieve privacy and to reduce the energy cost by modifying the energy consumption profile. Privacy is measured via the mean squared-error between the SM readings, which are reported to the utility provider (UP), and a target load; while time-of-use pricing is considered for energy cost calculation. The optimal trade-off between the achievable privacy and the energy cost is characterized by taking into account the limited capacity of the battery as well as the capability to sell energy to the UP. Extensive numerical simulations are presented to evaluate the performance of the proposed strategy for different system settings.

[1]  Onur Tan,et al.  Privacy-Cost Trade-offs in Demand-Side Management With Storage , 2017, IEEE Transactions on Information Forensics and Security.

[2]  Wenyuan Xu,et al.  Neighborhood watch: security and privacy analysis of automatic meter reading systems , 2012, CCS.

[3]  Christoph Sorge,et al.  A Privacy Model for Smart Metering , 2010, 2010 IEEE International Conference on Communications Workshops.

[4]  H. Vincent Poor,et al.  Smart Meter Privacy With Renewable Energy and an Energy Storage Device , 2017, IEEE Transactions on Information Forensics and Security.

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

[6]  Peng Liu,et al.  Secure and privacy-preserving information aggregation for smart grids , 2011, Int. J. Secur. Networks.

[7]  H. Vincent Poor,et al.  Increasing Smart Meter Privacy Through Energy Harvesting and Storage Devices , 2013, IEEE Journal on Selected Areas in Communications.

[8]  Richard D. Duke,et al.  The impact of net metering on the residential rooftop PV market , 2000, Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036).

[9]  Ashish Khisti,et al.  Privacy-optimal strategies for smart metering systems with a rechargeable battery , 2015, 2016 American Control Conference (ACC).

[10]  Yuan Qi,et al.  Minimizing private data disclosures in the smart grid , 2012, CCS '12.

[11]  Georgios Kalogridis,et al.  Affordable Privacy for Home Smart Meters , 2011, 2011 IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications Workshops.

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

[13]  Jack Kelly,et al.  The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes , 2014, Scientific Data.

[14]  Ronald Petrlic,et al.  A privacy-preserving Concept for Smart Grids , 2010 .

[15]  H. Vincent Poor,et al.  Smart Meter Privacy with Renewable Energy and a Storage Device , 2017, ArXiv.

[16]  Ashish Khisti,et al.  Information-Theoretic Privacy for Smart Metering Systems with a Rechargeable Battery , 2015, IEEE Transactions on Information Theory.