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Risk Assessment of Cyber Attacks on Smart Grid

Bahrami, Mahdi | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47454 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. The change in distribution and consumption of electrical energy has increased attention to smart grid. The smart grid is expected to enhance efficiency and reliability of power systems. Along with the important features, cyber security emerges to be a critical issue because electronic devices are inter-connected via communication and computer networks throughout power facilities. In recent years, cybersecurity of intelligent electronic devices (IEDs) in the substations has been recognized as a critical issue for the electrical smart grid. These devices provide remote accesses to perform the given control commands. Taking this into account, some concern has arised about cyber threats result from exploitation of cyber system vulnerabilities by attackers with unauthorized access.
    The aim of this thesis is to model reliability impacts from cyber attacks on electric power systems. To this end, some steps have been taken. The frist step is to identify the possible cyber attacks against smart grid and classify them according to their main adjectives, and then a novel algoritm is proposed to quantify the impacts of attacks launched from outside against protection systems of substations. In the other words, the suggested method consists of two submodels. The frist submodel calculates the probability of attacks against computer networks of the substations. This assessment is performed by generalized stochastic petri nets. In addition, a new Markov model has been proposed to evaluate the impacts of cyber attacks against protection systems. The result of this research is a tool to evaluate cyber security impacts on smart grid
  9. Keywords:
  10. Reliability ; Protection System ; PETRI Networks ; Smart Power Grid ; Risk Assessment ; Cyber Attacks

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