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.

Optimal demand-side management for joint privacy-cost optimization with energy storage / Giulio, Giaconi; Gunduz, Deniz; Vincent Poor, H.. - 2018-:(2018), pp. 265-270. (Intervento presentato al convegno 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 tenutosi a deu nel 2017) [10.1109/SmartGridComm.2017.8340681].

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

Deniz Gündüz;
2018

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.
2018
2017
2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
deu
2017
2018-
265
270
Giulio, Giaconi; Gunduz, Deniz; Vincent Poor, H.
Optimal demand-side management for joint privacy-cost optimization with energy storage / Giulio, Giaconi; Gunduz, Deniz; Vincent Poor, H.. - 2018-:(2018), pp. 265-270. (Intervento presentato al convegno 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 tenutosi a deu nel 2017) [10.1109/SmartGridComm.2017.8340681].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1202659
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