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

• 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
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2020.2982566

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.