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On Reliability Analysis of Smart Grids under Topology Attacks: A Stochastic Petri Net Approach by Beibei Li; Rongxing Lu; Kim-Kwang Raymond Choo; Wei Wang; Sheng Luo is a Computer Science article available to read on EtoBox.

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Building an efficient, smart, and multifunctional power grid while maintaining high reliability and security is an extremely challenging task, particularly in the ever-evolving cyber threat landscape. The challenge is also compounded by the increasing complexity of power grids in both cyber and physical domains. In this article, we develop a stochastic Petri net based analytical model to assess and analyze the system reliability of smart grids, specifically against topology attacks under system countermeasures (i.e., intrusion detection systems and malfunction recovery techniques). Topology attacks, evolving from false data injection attacks, are growing security threats to smart grids. In our analytical model, we define and consider both conservative and aggressive topology attacks, and two types of unreliable consequences (i.e., system disturbances and failures). The IEEE 14-bus power system is employed as a case study to clearly explain the model construction and parameterization process. The benefit of having this analytical model is the capability to measure the system reliability from both transient and steady-state analysis. Finally, intensive simulation experiments are cond

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Author

Beibei Li; Rongxing Lu; Kim-Kwang Raymond Choo; Wei Wang; Sheng Luo

Publisher

ACM

Published

2018

Language

EN

Field

Computer Science (Physical Sciences)