1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KasselDE13 papers
- AIT Austrian Institute of Technology GmbHAT7 papers
- National Technical University of AthensGR6 papers
- Delft University of TechnologyNL5 papers
- Technical University of DenmarkDK5 papers
- European Distributed Energy Resources LaboratoriesDE4 papers
- Oldenburger Institut für InformatikDE4 papers
- University of StrathclydeGB4 papers
- HAW HamburgDE3 papers
- Laboratoire de Génie Électrique de GrenobleFR3 papers
- Tennet (Netherlands)NL3 papers
- Université Grenoble AlpesFR3 papers
33 papers
Enabling Predictive Maintenance in District Heating Substations: A Labelled Dataset and Fault Detection Evaluation Framework based on Service Data
Cyriana M. A. Roelofs, Edison Guevara Bastidas, Thomas Hugo +2
Early detection of faults in district heating substations is imperative to reduce return temperatures and enhance efficiency. However, progress in this domain has been hindered by…
Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
Eric Tönges, Martin Braun, Philipp Härtel
This work presents two methodologies to enhance vulnerability assessment in power systems using bilevel attacker-defender network interdiction models. First, we introduce a systema…
Price Formation in a Highly-Renewable, Sector-Coupled Energy System
Julian Geis, Fabian Neumann, Michael Lindner +2
As variable renewable energy increases and more demand is electrified, we expect price formation in wholesale electricity markets to transition from being dominated by fossil fuel…
The (C)omprehensive (A)rchitecture (P)attern (I)ntegration method: Navigating the sea of technology
Sebastian Copei, Oliver Hohlfeld, Jens Kosiol
The technological landscape changes daily, making it nearly impossible for a single person to be aware of all trends or available tools that may or may not be suitable for their so…
A Computationally Efficient Method for Solving Mixed-Integer AC Optimal Power Flow Problems
Johannes Heid, Nils Bornhorst, Eric Tönges +3
Stepwise controllable devices, such as switched capacitors or stepwise controllable loads and generators, transform the nonconvex AC optimal power flow (AC-OPF) problem into a nonc…
Bilevel Optimization for Improved Flexibility Aggregation Models of Electric Vehicle Fleets
Philipp Härtel, Michael von Bonin
Electric vehicle (EV) fleets are expected to become an increasingly important source of flexibility for power system operations. However, accurately capturing the flexibility poten…
Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
Eric Tönges, Martin Braun, Philipp Härtel
An approach is proposed to identify optimal asset protection strategies based on vulnerability assessment outcomes. Traditional bilevel attacker-defender models emphasize worst-cas…
The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
Tara Cubel Liebisch, Peter Kaufmann, Harald Schnatz +166
The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative po…
Energy Security and Resilience: Reviewing Concepts and Advancing Planning Perspectives for Transforming Integrated Energy Systems
Richard Schmitz, Franziska Flachsbarth, Leonie Sara Plaga +2
Recent events, including the pandemic, geopolitical conflicts, supply chain disruptions, and climate change impacts, have exposed the critical need to ensure energy security and re…
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
Mohamed Hassouna, Clara Holzhüter, Malte Lehna +4
The rising proportion of renewable energy in the electricity mix introduces significant operational challenges for power grid operators. Effective power grid management demands ada…
Graph Reinforcement Learning for Power Grids: A Comprehensive Survey
Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev +3
The increasing share of renewable energy and distributed electricity generation requires the development of deep learning approaches to address the lack of flexibility inherent in…
Achievements, Experiences, and Lessons Learned from the European Research Infrastructure ERIGrid related to the Validation of Power and Energy Systems
T. I. Strasser, E. C. W. de Jong, M. Sosnina +9
Power system operation is of vital importance and must be developed far beyond today's practice to meet future needs. Almost all European countries are facing an abrupt and very im…
Quantifying seasonal hydrogen storage demands under cost and market uptake uncertainties in energy system transformation pathways
Felix Frischmuth, Mattis Berghoff, Martin Braun +1
Climate neutrality paradigms put electricity systems at the core of a clean energy supply. At the same time, indirect electrification, with a potential uptake of hydrogen or derive…
CARE to Compare: A real-world dataset for anomaly detection in wind turbine data
Christian Gück, Cyriana M. A. Roelofs, Stefan Faulstich
Anomaly detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain sp…
Transfer learning applications for anomaly detection in wind turbines
Cyriana M. A. Roelofs, Christian Gück, Stefan Faulstich
Anomaly detection in wind turbines typically involves using normal behaviour models to detect faults early. However, training autoencoder models for each turbine is time-consuming…
KPI Extraction from Maintenance Work Orders -- A Comparison of Expert Labeling, Text Classification and AI-Assisted Tagging for Computing Failure Rates of Wind Turbines
Marc-Alexander Lutz, Bastian Schäfermeier, Rachael Sexton +4
Maintenance work orders are commonly used to document information about wind turbine operation and maintenance. This includes details about proactive and reactive wind turbine down…
Asynchronous Integration of Real-Time Simulators for HIL-based Validation of Smart Grids
Catalin Gavriluta, Georg Lauss, Thomas I. Strasser +3
As the landscape of devices that interact with the electrical grid expands, also the complexity of the scenarios that arise from these interactions increases. Validation methods an…
Differentiating groupoids
Du Li, Leonid Ryvkin, Arne Wessel +1
Differentiating an Lie -groupoid via the differential-geometric fat point a priori only yielads a presheaf of graded manifolds. In this article we prove that this presheaf is re…
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
Malte Lehna, Jan Viebahn, Christoph Scholz +2
The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production. As a consequence, active grid manage…
Overcoming the disconnect between energy system and climate modeling
Michael T. Craig, Jan Wohland, Laurens P. Stoop +20
Energy system models underpin decisions by energy system planners and operators. Energy system modelling faces a transformation: accounting for changing meteorological conditions i…
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
Malte Lehna, Björn Hoppmann, René Heinrich +1
With the rising extension of renewable energies, the intraday electricity markets have recorded a growing popularity amongst traders as well as electric utilities to cope with the…
On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System
Diana Böttger, Philipp Härtel
Climate and energy policy targets of the European Commission aim to make Europe the first climate-neutral continent by 2050. For low-carbon and net-neutral energy systems primarily…
Influence of Coil Position on AC Losses of Stator Superconducting Windings of a Synchronous Machine for a 10 MW Wind Turbine
Carlos Roberto Vargas-Llanos, Sebastian Lengsfeld, Mathias Noe +2
One of the main tasks during the design of a superconducting electrical machine is the estimation of losses in the superconducting coils. These losses can be decisive in such appli…
Fast Parallel Newton-Raphson Power Flow Solver for Large Number of System Calculations with CPU and GPU
Zhenqi Wang, Sebastian Wende-von Berg, Martin Braun
To analyze large sets of grid states, e.g. when evaluating the impact from the uncertainties of the renewable generation with probabilistic Monte Carlo simulation or in stationary…