1. Risk assessment for the cascading failure of electric cyber-physical system considering multiple information factors
- Author
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Zeng Yuan, Liu Yanli, Hou Kai, Liangchen Deng, Dongxu Lu, and Tianyuan Bai
- Subjects
lcsh:Computer engineering. Computer hardware ,physical component ,Computer Networks and Communications ,Computer science ,020209 energy ,reliability model ,lcsh:TK7885-7895 ,02 engineering and technology ,cyber-physical systems ,information systems ,power grid ,risk management ,multiple information factors ,lcsh:QA75.5-76.95 ,risk indices ,Software ,information system ,Artificial Intelligence ,Component (UML) ,0202 electrical engineering, electronic engineering, information engineering ,Information system ,power system reliability ,ECPS ,Electrical and Electronic Engineering ,Risk management ,power engineering computing ,business.industry ,020208 electrical & electronic engineering ,Cyber-physical system ,expected energy ,Telecommunications network ,personnel factors ,Cascading failure ,Computer Science Applications ,Reliability engineering ,risk assessment approach ,smart power grids ,electric cyber-physical system ,cascading failure ,optimal power communication network topology ,lcsh:Electronic computers. Computer science ,Risk assessment ,business - Abstract
A risk assessment approach for the cascading failure of electric cyber-physical system (ECPS) considering multiple information factors is proposed. First, considering hardware, software and personnel factors existing in the information system, the reliability model of the control function of the information system is established. Second, the reliability model of the physical component considering the control function of the information system is established. Finally, the risk assessment approach for the cascading failure of ECPS is introduced, and the probability of the cascading failure and the expected energy not supplied are used as the risk indices. Test results on an improved RTS-79 system show the effectiveness and significance of the method for choosing the optimal power communication network topology and the measures to reduce the risk.
- Published
- 2017
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