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

Giulio Giaconi, Deniz Gunduz, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages265-270
Number of pages6
ISBN (Electronic)9781538640555
DOIs
StatePublished - Apr 17 2018
Event2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany
Duration: Oct 23 2017Oct 26 2017

Publication series

Name2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
CountryGermany
CityDresden
Period10/23/1710/26/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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