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CORR
2011
Springer

Distributed Estimation and False Data Detection with Application to Power Networks

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Distributed Estimation and False Data Detection with Application to Power Networks
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence of threatening situations. State estimation has been recognized to be a fundamental task for network control centers to ensure correct and safe functionalities of power grids. We consider (static) state estimation problems, in which the state vector consists of the voltage magnitude and angle at all network buses. We consider the state to be linearly related to network measurements, which include power flows, current injections, and voltages phasors at some buses. We admit the presence of several cooperating control centers, and we design two distributed methods for them to compute the minimum variance estimate of the state given the network measurements. The two distributed methods rely on different modes of cooperation among control centers: in the first method an incremental mode of cooperation is used, ...
Fabio Pasqualetti, Ruggero Carli, Francesco Bullo
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Fabio Pasqualetti, Ruggero Carli, Francesco Bullo
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