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Competitive privacy in the smart grid: An information-theoretic approach

Author(s): Sankar, Lalitha; Kar, Soummya; Tandon, Ravi; Poor, H Vincent

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Abstract: 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.
Publication Date: Oct-2011
Citation: Sankar, Lalitha, Soummya Kar, Ravi Tandon, and H. Vincent Poor. "Competitive privacy in the smart grid: An information-theoretic approach." In 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), (2011): 220 - 225. doi:10.1109/SmartGridComm.2011.6102322
DOI: 10.1109/SmartGridComm.2011.6102322
Pages: 220 - 225
Type of Material: Conference Article
Journal/Proceeding Title: 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)
Version: Author's manuscript

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