126 citations · 199 across the 19 of their papers we have counts for
8 papers · 1 filter
Investigating the Cybersecurity of Smart Grids Based on Cyber-Physical Twin Approach
Ömer Sen, Florian Schmidtke, Federico Carere +3
While the increasing penetration of information and communication technology into distribution grid brings numerous benefits, it also opens up a new threat landscape, particularly…
On Holistic Multi-Step Cyberattack Detection via a Graph-based Correlation Approach
Ömer Sen, Chijioke Eze, Andreas Ulbig +1
While digitization of distribution grids through information and communications technology brings numerous benefits, it also increases the grid's vulnerability to serious cyber att…
Modelling Residential Supply Tasks Based on Digital Orthophotography Using Machine Learning
Klemens Schumann, Luis Böttcher, Philipp Hälsig +2
In order to achieve the climate targets, electrification of individual mobility is essential. However, grid integration of electrical vehicles poses challenges for the electrical d…
On Specification-based Cyber-Attack Detection in Smart Grids
Ömer Sen Dennis van der Velde, Maik Lühman, Florian Sprünken +4
The transformation of power grids into intelligent cyber-physical systems brings numerous benefits, but also significantly increases the surface for cyber-attacks, demanding approp…
Assessing the impact of cyber attacks manipulating distributed energy resources on power system operation
Philipp Linnartz, Alexander Winkens, Andreas Ulbig
Successful cyber attacks on power systems cause severe disruptions. One possible manipulation strategy is the utilization of distributed energy resources (DERs) to disturb power sy…
On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes
Thomas Offergeld, Nils Mattus, Florian Schmidtke +1
In this paper we introduce a method for performance quantification of flexibility aggregation in flexibility coordination schemes (FCS), with a focus on privacy preserving hierarch…
A stakeholder-oriented multi-criteria optimization model for decentral multi-energy systems
Nils Körber, Maximilian Röhrig, Andreas Ulbig
The decarbonization of municipal and district energy systems requires economic and ecologic efficient transformation strategies in a wide spectrum of technical options. Especially…
Solving AC Power Flow with Graph Neural Networks under Realistic Constraints
Luis Böttcher, Hinrikus Wolf, Bastian Jung +5
In this paper, we propose a graph neural network architecture to solve the AC power flow problem under realistic constraints. To ensure a safe and resilient operation of distributi…