Thomas Wolgast
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Secretary:
Head
Thomas Wolgast
- Attacks on Power Systems
- Vulnerability Analysis
- Ancillary Service Markets
- Machine Learning / Reinforcement Learning
- Real-Time Optimal Power Flow
- Multi-Agent Control Systems
Department of Computing Science (» Postal address)
Publications
- Wolgast, T., Nieße, A. Towards modular composition of agent-based voltage control concepts. Energy Inform 2, 26 (2019). https://doi.org/10.1186/s42162-019-0079-x
- Neugebauer, T.; Wolgast, T.; Nieße, A. Dynamic Inspection Interval Determination for Efficient Distribution Grid Asset-Management. Energies 2020, 13, 3875. https://doi.org/10.3390/en13153875
Curriculum vitae
Thomas Wolgast is doctoral student in the field of energy informatics at the University of Oldenburg.
He received his Master of Science in Power Engineering from the Leibniz University Hannover. His master thesis was the implementation and evaluation of multi-agent based voltage control concepts in the distribution grid.
Currently, he is using Machine Learning and especially Reinforcement Learning, to learn attack vectors on power systems and to identify systemic vulnerabilities this way. That in turn allows to evaluate countermeasures. Especially vulnerable for such attacks are ancillary service markets. Thomas is responsible for the PYRATE project.
He received his Master of Science in Power Engineering from the Leibniz University Hannover. His master thesis was the implementation and evaluation of multi-agent based voltage control concepts in the distribution grid.
Currently, he is using Machine Learning and especially Reinforcement Learning, to learn attack vectors on power systems and to identify systemic vulnerabilities this way. That in turn allows to evaluate countermeasures. Especially vulnerable for such attacks are ancillary service markets. Thomas is responsible for the PYRATE project.