Abstract | ||
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The evolved smart grid has become a cyber physical energy system that could be exposed to a massive amount of cyber threats. Vulnerabilities within the cyber part can be used to launch multiple types of attacks that corrupt the physical system. The complexity of cyber physical energy system, the existing of different kinds of attacks, require an appropriate tool to aid in modeling and simulation for cyber security analysis. In this paper, we introduce a modeling language - Modelica to the security community of cyber physical system. We show the capability of Modelica in modeling complex systems and attacks by building up a power grid model with frequency control loop (i.e., automatic generation control), as well as data integrity attack and data availability attack models. The simulation results show how different types of attacks or even combined attacks can affect the system frequency stability. |
Year | DOI | Venue |
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2019 | 10.1109/HASE.2019.00042 | 2019 IEEE 19th International Symposium on High Assurance Systems Engineering (HASE) |
Keywords | Field | DocType |
Automatic generation control,Frequency measurement,Object oriented modeling,Frequency control,Generators,Mathematical model | Object-oriented modeling,Impact evaluation,Systems engineering,Computer science,Automatic frequency control,Cyber-physical system,Energy system,Modelica,Automatic Generation Control,Reliability engineering | Conference |
ISSN | ISBN | Citations |
1530-2059 | 978-1-5386-8540-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kaikai Pan | 1 | 0 | 0.34 |
Digvijay Gusain | 2 | 0 | 0.34 |
Peter Palensky | 3 | 485 | 50.70 |