PRIVACY-PRESERVING ENERGY FLOW CONTROL IN SMART GRIDS

被引:0
|
作者
Li, Zuxing [1 ]
Oechtering, Midas J.
Skogiund, Mikael
机构
[1] KTII Royal Inst Technol, Sch Elect Engn, Stockholm, Sweden
关键词
Bayesian detection; linear programming; MDP; smart meter privacy;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, an energy flow control strategy to reduce the smart meter privacy leakage is studied. The considered smart grid is equipped with an energy storage device. The privacy leakage is modeled as optimal Bayesian detections on the behaviors of the consumer made by an authorized adversary. To evaluate the privacy risk, a Bayesian detection-operational privacy leakage metric is proposed. The design of an optimal privacy-preserving energy control strategy can be formulated as a belief state MDP problem. Therefore, standard methods and algorithms can be utilized to obtain or to approximate the optimal control strategy. A simplified problem to design an instantaneous optimal privacy-preserving control strategy is also considered. It is shown that the problem of the instantaneous optimal control strategy design can be formulated as a set of linear programmings.
引用
收藏
页码:2194 / 2198
页数:5
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