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Fault Detection and Isolation with discrete-time measurements: Towards cyber-security of power-networks

Author(s):

E. Tiniou
Conference/Journal:

Semester Thesis, FS12 /10186)
Abstract:

This work is concerned with a model-based fault detection and isolation (FDI) task in a realistic framework, where the dynamics of the monitored process are expressed in continuous-time, whilst system measurements are applied to an FDI lter in discrete-time samples. Towards the development of a tractable approach for high dimensional nonlinear systems, existing optimization-based methods for residual generator design are reviewed. However, in order to deploy these methods, one needs to deal with both system dynamics and discrete measurements in the same time scale, i.e., either continuous or discrete. Therefore, we propose three variants of discrete-time modeling approaches for state-space systems, tailored particularly to meet the needs of the existing FDI lter design. Finally, we validate the performance of the proposed method through an application of the discussed methodology for the cyber-security of power networks. The eciency and limitations of the presented techniques are illustrated through simulation results, in which the objective is the diagnosis of an external attack in a multimachine two-area power system.

Year:

2013
Type of Publication:

(13)Semester/Bachelor Thesis
Supervisor:

P. Mohajerin Esfahani

No Files for download available.
% Autogenerated BibTeX entry
@PhdThesis { Xxx:2013:IFA_4362
}
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