Abstract
Assessing cross-space risk of cyber-physical distribution system under integrated attack is investigated in this paper. Firstly, a hierarchical structure of cyber-physical distribution network according to IEC 61850 is established and a deliberate attack scenario with limited adversarial knowledge and stealth requirement is developed based on a general linear model for state estimation. Then, we formulate two optimization problems to describe the attack implementation and propagation process and obtain the likelihood of attacks including a robust solution and a risk solution in a fuzzy Bayesian network (BN). On this basis, a physical impact metric is defined as the integrated deviation of system states and measurements. Thus, the cross-space risk assessment can be performed. Finally, the simulation results of case studies demonstrate that the proposed method is effective and provides a broad and clear view of cyber-physical distribution system security situation.
Highlights
Distribution network is a critical part of smart grid which meets the increasing requirement of supply reliability, operation cost-effectiveness and renewable energy consumption by employing advanced information and communication technology (ICT)
To fill the gaps of the above-mentioned methods, this paper presents a novel method with fuzzy Bayesian network (BN) and system state estimation to quantify the cross-space risk for IEC 61850 based cyber-physical distribution system
The main contribution is threefold: 1) This paper proposes a probabilistic indicator to characterize the availability of vulnerabilities and input it to the fuzzy BN as the prior probability
Summary
Distribution network is a critical part of smart grid which meets the increasing requirement of supply reliability, operation cost-effectiveness and renewable energy consumption by employing advanced information and communication technology (ICT). Jie Yang: Cross-space Risk Assessment of Cyber-physical Distribution System under Integrated Attack (June 2021). To fill the gaps of the above-mentioned methods, this paper presents a novel method with fuzzy BN and system state estimation to quantify the cross-space risk for IEC 61850 based cyber-physical distribution system. 3) To objectively assess the cross-space risk, this paper proposes a physical impact metric which calculates and integrates the deviation of system states and measurements with a general linear state estimation model.
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