Fabio Pasqualetti

  1. Cyber-Physical Attacks in Power Networks: Models, Fundamental Limitations and Monitor Design.

    Authors: Francesco Bullo, Fabio Pasqualetti, Florian Dörfler
    Subjects: Optimization and Control
    Abstract

    Future power networks will be characterized by safe and reliable
    functionality against physical malfunctions and cyber attacks. This paper
    proposes a unified framework and advanced monitoring procedures to detect and
    identify network components malfunction or measurements corruption caused by an
    omniscient adversary. We model a power system under cyber-physical attack as a
    linear time-invariant descriptor system with unknown inputs. Our attack model
    generalizes the prototypical stealth, (dynamic) false-data injection and replay
    attacks.

  2. Distributed Estimation and False Data Detection with Application to Power Networks.

    Authors: Francesco Bullo, Ruggero Carli, Fabio Pasqualetti
    Subjects: Optimization and Control
    Abstract

    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.

RSS-материал