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This paper is concerned with linear state estimation in sensor networks with an event-triggered exchange of information. It is assumed that each sensor node transmits its local estimate to a fusion center whenever an appropriately chosen error norm exceeds a threshold. The fusion rule is a modified version of the Covariance Intersection Algorithm. We investigate how to incorporate the event information...
In this paper an efficient computation scheme for analyzing the security of power transmission networks is presented. In order to strategically allocate protection devices in the network, the problem of finding the sparsest stealthy false data attack to the state estimator is studied. While the attack search problem is traditionally solved as a generic constrained cardinality minimization problem,...
State estimators in power systems are currently used to, for example, detect faulty equipment and to route power flows. It is believed that state estimators will also play an increasingly important role in future smart power grids, as a tool to optimally and more dynamically route power flows. Therefore security of the estimator becomes an important issue. The estimators are currently located in control...
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