Reliability Modeling and Assessment of Cyber Space in Cyber-Physical Power Systems

The information technology in a cyber-physical power system plays a significant role in quickly regulating the energy flow that can cope with the complexity of power system operation and control. The energy processing capability of power systems depends heavily on the reliability of information syst...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2020-09, Vol.11 (5), p.3763-3773
Main Authors: He, Ruiwen, Xie, Haijun, Deng, Jianhua, Feng, Teng, Lai, Loi Lei, Shahidehpour, Mohammad
Format: Article
Language:English
Subjects:
composite Markov model (CMM)
Computer simulation
Cyber-physical power system
Energy flow
Information flow
Information systems
Internet
Linear programming
Markov chains
Markov processes
Modelling
Monte Carlo methods
Monte Carlo simulation
Network reliability
Physical properties
power information system
Power system reliability
Reliability
Reliability analysis
reliability assessment
Representations
Smart grids
System reliability
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Summary:The information technology in a cyber-physical power system plays a significant role in quickly regulating the energy flow that can cope with the complexity of power system operation and control. The energy processing capability of power systems depends heavily on the reliability of information systems. The reliability model of cyber space includes not only the binary-state operation-failure representation of physical devices, but also the multi-state representation of information flow in corresponding networks. This paper proposes a reliability modeling and assessment method for the power information system (i.e., cyber space in power system). The proposed composite Markov model would couple physical characteristics and information flow performances in a two-layer model. The proposed reliability methods combine the sequential Monte-Carlo simulation with the linear programming model to acquire maximum flows that would supply power demands. The proposed methodology is applied to the reliability analyses of the power information system in the IEEE 14-bus system in which the performances of the proposed indices are evaluated.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.2982566