Resilience Quantification of Interdependent Power and ICT Systems using Operational State Classification
Anand Narayan
Power systems increasingly depend on information and communication technologies (ICT), creating cyber-physical energy systems (CPESs). While ICT enables grid services for operating power systems, it also introduces new disturbances necessitating resilient CPESs. This requires quantifying the system’s performance. Operational state classification is a popular tool for assessing power system performance but inadequately captures ICT aspects, limiting its application in analysing CPESs. In this regard, this thesis has two main contributions. First, a joint operational state model for CPESs is developed, integrating power and ICT system aspects. Here, property graphs and finite state automata are used. The model is shown to trace disturbance propagation in CPESs by considering interdependencies. Second, a Monte Carlo-based methodology and metrics are developed to quantify the resilience of ICT systems. These metrics can compare different ICT designs, ultimately improving CPES resilience.
July / 2024
phdthesis
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