Competitive privacy in the smart grid: An information-theoretic approach
Competitive privacy in the smart grid: An information-theoretic approach
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DOI：
10.1109/smartgridcomm.2011.6102322
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发表时间：
2011-08
期刊：
影响因子：
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通讯作者：
L. Sankar;S. Kar;R. Tandon;H. Poor
中科院分区：
文献类型：
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作者：
L. Sankar;S. Kar;R. Tandon;H. Poor
传感和通信能力的进步以及电力行业放松管制正在推动区域输电组织（RTO）对分布式状态估计的需求。这导致了RTO之间新的竞争隐私问题，因为在共享数据以确保网络可靠性（对所有RTO的效用/益处）与出于盈利和隐私原因而扣留数据之间存在紧张关系。由此产生的效用之间的权衡，量化通过保真度的状态估计在每个RTO，和隐私，量化通过泄漏的状态之一RTO在其他RTO，精确地捕获使用有损源编码问题制定的两个RTO网络。对于两个RTO模型，它表明，所有可行的效用隐私对的集合可以通过一个单一的一轮通信时，每个RTO考虑到在两个RTO的测量数据之间的相关性进行通信。有损信源编码的问题和解决方案在这里也是独立的利益。
Advances in sensing and communication capabilities as well as power industry deregulation are driving the need for distributed state estimation at the regional transmission organizations (RTOs). This leads to a new competitive privacy problem amongst the RTOs since there is a tension between sharing data to ensure network reliability (utility/benefit to all RTOs) and withholding data for profitability and privacy reasons. The resulting tradeoff between utility, quantified via fidelity of its state estimate at each RTO, and privacy, quantified via the leakage of the state of one RTO at other RTOs, is captured precisely using a lossy source coding problem formulation for a two RTO network. For a two-RTO model, it is shown that the set of all feasible utility-privacy pairs can be achieved via a single round of communication when each RTO communicates taking into account the correlation between the measured data at both RTOs. The lossy source coding problem and solution developed here is also of independent interest.