Publikationen
TUHH Open Research (TORE)
2025
- Physics-informed machine learning for virtual inertia provision from power distribution systems
- Doctoral Thesis
Schriftenreihe des Instituts für Elektrische Energietechnik 5: (2025)
2024
- Bayesian Physics-informed Neural Networks for system identification of inverter-dominated power systems
- Journal Article
Electric Power Systems Research 235: 110860 (2024)
Open Access | Verlags DOI - Uncertainty quantification for branch-current state estimation in power distribution systems
- Conference Paper
IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
Verlags DOI - Physics-informed Actor-Critic for Coordination of Virtual Inertia from Power Distribution Systems
- Preprint
Authorea (2024-06-06)
Verlags DOI - Virtual inertia provision from distribution power systems using machine learning
- Book part
Elsevier 978-0-443-21951-1: 293-322 (2024)
Verlags DOI
2023
- Reinforcement learning based coordination of virtual inertia provision from inverter-dominated distribution grids
- Conference Paper
32nd IEEE International Symposium on Industrial Electronics (ISIE 2023)
Verlags DOI - Bayesian physics-informed neural networks for robust system identification of power systems
- Conference Paper
IEEE Belgrade PowerTech (2023)
Verlags DOI
2022
- Modelling the influence of virtual inertia in distribution systems on frequency stability
- Conference Paper not in Proceedings
IEEE Power and Energy Student Summit 2022 and Power Electronics Student Summit: (2022) - Application of physics-based graph convolutional network in real-time state estimation of under-determined distribution grids
- Conference Paper
IEEE PES Innovataive Smart Grid Technologies Europe, ISGT Europe (2022)
Verlags DOI - Interconnected network protection systems - the basis for the reliable and safe operation of distribution grids with a high penetration of renewable energies and electric vehicles
- Conference Paper
CIRED Porto Workshop 2022 (3): 548-552 (2022)
Verlags DOI - Real-time inertia estimation in an inverter-dominated distribution grid using a physics-informed recurrent neural network
- Conference Paper
CIRED Porto Workshop 2022 (3): 940-944
Verlags DOI
2021
- Applications of artificial intelligence in distribution power system operation
- Journal Article
IEEE Access 9 : 150098-150119 (2021-11)
Open Access | Verlags DOI - A Modified Branch-Current Based Algorithm for Fast Low Voltage Distribution Grid State Estimation using Smart Meter Data
- Conference Paper
Von Komponenten bis zum Gesamtsystem fur die Energiewende (ETG-Kongress 2021)
Betreute Arbeiten
abgeschlossene
- Physics-informed Reinforcement Learning for Coordination of Virtual Inertia in Distribution Systems.
- Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.
- Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.Masterarbeit
- Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.Masterarbeit
- Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.Bachelorarbeit
- Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.Bachelorarbeit
- Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.Masterarbeit
