Paper Info
Title
A privacy-friendly game-theoretic distributed scheduling system for domestic appliances
Abstract
Game-theoretic Demand Side Management (DSM) systems have been investigated as a decentralized approach for the collaborative scheduling of the usage of domestic electrical appliances within a set of households. Such systems allow for the shifting of the starting time of deferrable devices according to the current energy price or power grid condition, in order to reduce the individual monthly bill or to adjust the power load experienced by the grid while meeting the users' preferences about the time of use. The drawback of DSM distributed protocols is that they require each user to communicate his/her own energy consumption patterns to the other users, which may leak sensitive information regarding private habits. This paper proposes a distributed Privacy-Friendly DSM system which preserves users' privacy by integrating data aggregation and perturbation techniques: users decide their schedule according to aggregated consumption measurements perturbed by means of Additive White Gaussian Noise (AWGN). We evaluate the noise power and the size of the set of users required to achieve a given privacy level, quantified by means of the Kullback-Leibler divergence. The performance of our proposed DSM system are compared to the ones obtained by a benchmark system which does not support privacy preservation in terms of social cost, peak demand and convergence time. Results show that privacy can be preserved at the cost of increasing the peak demand and the number of game iterations, whereas social cost is only marginally incremented.
Year
DOI
Venue
2014
10.1109/SmartGridComm.2014.7007756
Smart Grid Communications
Keywords
Field
DocType
AWGN,demand side management,domestic appliances,game theory,power generation scheduling,AWGN,DSM distributed protocols,DSM systems,Kullback-Leibler divergence,additive white Gaussian noise,collaborative scheduling,data aggregation,demand side management systems,distributed privacy-friendly DSM system,domestic appliances,game theoretic distributed scheduling system,perturbation techniques,power load,Demand Side Management,Privacy-Friendly Load Scheduling,Smart Grid
Smart grid,Scheduling (computing),Computer network,Peak demand,Engineering,Information sensitivity,Data aggregator,Energy consumption,Additive white Gaussian noise,Grid
Conference
ISSN
Citations 
PageRank 
2373-6836
2
0.36
References 
Authors
11
3
Name
Order
Citations
PageRank
Cristina Rottondi116117.87
Antimo Barbato2434.62
Giacomo Verticale321326.03