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Privacy-cost trade-offs in smart electricity metering systems

机译:智能电力计量系统中的隐私性价廉

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摘要

Trade-offs between privacy and cost are studied for a smart grid consumer, whose electricity consumption is monitored in almost real time by the utility provider (UP) through smart meter (SM) readings. It is assumed that an electrical battery is available to the consumer, which can be utilised both to achieve privacy and to reduce the energy cost by demand shaping. Privacy is measured via the mean squared distance between the SM readings and a target load profile, while time-of-use pricing is considered to compute the cost incurred. The consumer can also sell electricity back to the UP to further improve the privacy-cost trade-off. Two privacy-preserving energy management policies (EMPs) are proposed, which differ in the way the target load profile is characterised. A more practical EMP, which optimises the energy management less frequently, is also considered. Numerical results are presented to compare the privacy-cost trade-off of these EMPs, considering various privacy indicators.
机译:智能电网消费者研究了隐私和成本之间的权衡,其电力消耗通过智能仪表(SM)读数几乎实时监测电力消耗。假设消费者可以使用电池,这可以使用它来实现隐私并通过需求塑造降低能量成本。通过SM读数和目标负载轮廓之间的平均平衡距离来测量隐私,而使用时间的定价被认为是计算所产生的成本。消费者还可以将电力销售回到努力进一步改善隐私性价廉的权衡。提出了两个隐私保留的能源管理政策(EMPS),其特征在于目标负载概况的方式。还考虑了一种更实用的EMP,其优化了能源管理的优势。提出了数值结果以比较这些EMPS的隐私性价比,考虑到各种隐私指标。

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