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Risk Assessment for the Power Grid Dispatching Process Considering the Impact of Cyber Systems

doi: 10.3390/en12061084
Power grid dispatching is a high-risk process, and its execution depends on an available cyber system. However, the effects of cyber systems have not caught enough attention in current research on risk assessments in dispatching processes, which may cause optimistic risk results. In order to solve this problem, this paper proposes a risk assessment model that considers the impact of a cyber system on power grid dispatching processes. Firstly, a cyber-physical switchgear state model that integrates the reliability states of both cyber system functions and switchgears is proposed, based on the transition of switchgear states in the dispatching process. Then, the potential effects of each operating step on power grid states are analyzed considering the failure model of cyber-physical system (CPS) components. The risk probabilities and consequences of the power grid states are calculated to quantify the risk index. Finally, the workings and effectiveness of this model are illustrated using the IEEE Reliability Test System-1979.
- University of New Haven United States
- University of New Haven United States
- Guangxi University China (People's Republic of)
- Guangxi University China (People's Republic of)
risk assessment; power grid dispatching; cyber-physical system; probabilistic model, probabilistic model, Technology, T, risk assessment, power grid dispatching, cyber-physical system
risk assessment; power grid dispatching; cyber-physical system; probabilistic model, probabilistic model, Technology, T, risk assessment, power grid dispatching, cyber-physical system
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
