Privacy-preserving energy flow control in smart grids

Zuxing Li, T. Oechtering, M. Skoglund
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引用次数: 29

Abstract

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.
智能电网中保护隐私的能量流控制
本文研究了一种减少智能电表隐私泄漏的能量流控制策略。所考虑的智能电网配备了储能装置。隐私泄露建模为授权对手对消费者行为的最优贝叶斯检测。为了评估隐私风险,提出了一种贝叶斯检测-操作隐私泄漏度量。最优隐私保护能量控制策略的设计可以表述为一个信念状态MDP问题。因此,可以使用标准方法和算法来获得或近似最优控制策略。同时考虑了一个简化的问题,即设计一种瞬时最优隐私保护控制策略。结果表明,瞬时最优控制策略的设计问题可以表述为一组线性规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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