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SUMMARY:Estimation with Incomplete State Information in the Smart Grid - I
 ñaki Esnaola\, Princeton University
DTSTART:20130620T130000Z
DTEND:20130620T140000Z
UID:TALK45728@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:*Abstract*: \n\nThe increasing interconnectivity between infor
 mation systems\, communications\, and the electricity grid gives rise to t
 he smart grid.  A characteristic that draws a distinction between the curr
 ent grid and the smart grid is the availability of information that can be
  used to optimize the system management. This implies that additional netw
 orks of sensing and communication need to be added to the grid\, which amp
 lifies the impact of potential threats\, both intentional and unintentiona
 l. In this talk we analyze the network state estimation problem with incom
 plete state information. A common approach is to assume that the underlyin
 g random process modeling the network state is stationary and its statisti
 cal characterization is known. Unfortunately\, this is not a realistic ass
 umption. That being the case\, the imperfect knowledge of the statistical 
 model needs to be taken into account when analyzing the fundamental limits
  governing the system and in the design of practical estimation procedures
 . \n\nFirst we study the theoretical limits for grid state estimation when
  partial prior knowledge is available using information theoretic measures
  and random matrix theory. We show that the uncertainty about the system m
 odel can be absorbed as a mismatch term defined by a random process. This 
 framework enables us to describe the trade-offs between the estimation per
 formance and the amount of prior knowledge available during the estimation
  process. In a second part\, we design practical estimation/attack strateg
 ies when data injection attacks are present. The validity of the presented
  procedures in real settings is studied through simulations in the IEEE te
 st systems.\n\n*Bio*:\n\nIñaki Esnaola received the M.S. degree in Electr
 ical Engineering from University of Navarra\, Donostia\, Spain in 2006 and
  a Ph.D. in Electrical Engineering from University of Delaware\, Newark\, 
 DE in 2011. He is currently a Postdoctoral Research Associate at Princeton
  University\, Princeton\, NJ. In 2010-2011 he was a Research Intern with B
 ell Laboratories\, Alcatel-Lucent\, Holmdel\, NJ. His research interests i
 nclude information theory and communication theory.\n
LOCATION:LR5\, Engineering\, Department of
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