State-based modeling of controllable power system components via stochastic activity networks

Conference: PESS 2021 - Power and Energy Student Summit
11/25/2021 - 11/26/2021 at online, University of Kassel

Proceedings: PESS 2021 – Power and Energy Student Summit

Pages: 6Language: englishTyp: PDF

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Schneiders, Alicia; Haack, Jonas (Department e2n, University of Kassel, Kassel, Germany)

A suitable model representation of the technical instances that connect power system components and information and communication technology infrastructure is crucial for the resilience assessment of the cyber-physical energy systems of the future. Those so-called Interconnectors depend on the processes and vice versa influence the processes in all subsystems they exist in to provide their services to the overall system. For the modeling of these interdependencies, stochastic activity networks are considered. An on-load tap changing transformer controlled by an intelligent electronic device is modelled to examine the feasibility of stochastic activity nets for Interconnector modelling. The controlled on-load tap changing transformer is mapped to a state-representing stochastic activity network as a detailed and a minimal model. This allows for an analysis of the necessary level of detail in the model. The results obtained via discrete-event simulation and evaluation of the developed stochastic activity networks show how stochastic activity networks allow for a state-based representation of Interconnectors in cyber-physical energy systems.