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Some Network Analysis Problems Motivated by the Smart Grid

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Abstract: Smart grid involves the imposition of an advanced cyber layer atop the physical layer of the electricity grid, in order to improve the efficiency, security and cost of electricity use and distribution, and to allow for greater decentralization of power generation and management. This cyber-physical setting motivates a number of problems in network analysis, and this talk will briefly describe several of these problems together with approaches to solving them. These include competitive privacy in which multiple grid entities seek an optimal trade-off between privacy lost and utility gained from information sharing; distributed inference in which both the cyber and physical network topologies have roles to play in achieving consensus; real-time topology identification which helps in the mitigation of cascading failures; and attack construction which seeks an understanding of optimal strategies for attacking the grid in support of the design of effective countermeasures.

Bio: Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University. He also holds an ongoing appointment as a Visiting Professor of Electrical & Electronic Engineering at Imperial College. His research interests are in the areas of information theory, statistical signal processing and stochastic analysis and their applications in wireless networks, smart grid and related fields. He is currently visiting the Isaac Newton Institute at Cambridge University as a participant in the workshop “Theoretical Foundations of Statistical Network Analysis.” Dr Poor is a Member of the US National Academy of Engineering and US National Academy of Sciences, an International Fellow of the Royal Academy of Engineering, and a Foreign Member of the Royal Society. Recent recognition of his work includes the 2014 URSI Booker Gold Medal, the 2016 John Fritz Medal, and honorary doctorates from several universities in Asia and Europe.

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