Cyber Attacks of a Power Grid Analysis Using a Deep Neural Network Approach

• Delia Ioana Dogaru

  University Politehnica Bucharest, Faculty of Automatic Control and Computer Science

• Ioan Dumitrache

The integration of new technologies into the power grid leads to a growing, complex, interconnected system that is exposed to various cyber vulnerabilities. A power grid operating state can be altered due to the dynamic cyber-attacks which target different system objectives. This article brings forward the approach of power grid behavior analysis to identify two operating states: normal versus attacked. Once established the features for such states, we focus on Deep Neural Networks as security methods to mitigate the impact of cyber-attacks on the power grid by providing a case study simulation in MATLAB to sustain the proposed method.

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