11 citations · 14 across the 9 of their papers we have counts for
10 papers
RAPTOR: RAndom-projection Physics-informed Transient sOlveR
Petros Ellinas, Benjamin Vilmann, Spyros Chatzivasileiadis +1
The complexity of time-domain simulation of modern power systems has increased significantly because converter-based resources introduce control dynamics that must be simulated alo…
Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening
Sarra Bouchkati, Petros Ellinas, Adriana Geisler +4
Deploying a new control policy for voltage control in active distribution grids requires evidence that physical limits will be satisfied before the policy is tested on the physical…
Multi-Objective Deep Reinforcement Learning for Secure and Stable Power System Operation
Ioannis Papadopoulos, Georgios Tsaousoglou, Johanna Vorwerk
The ongoing energy transition challenges the stable operation of power systems and increases the need for rapid decision-making under uncertainty. While reinforcement learning has…
Tools to Explain Neural Networks for Power System Dynamics
Petros Ellinas, Johanna Vorwerk, Spyros Chatzivasileiadis
This paper presents, for the first time in power systems literature to our knowledge, analytical tools to explain the training performance of machine learning surrogate models for…
Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
Petros Ellinas, Indrajit Chaudhuri, Johanna Vorwerk +1
Physics-informed machine learning surrogates are increasingly explored to accelerate dynamic simulation of generators, converters, and other power grid components. The key question…
Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components
Ioannis Karampinis, Petros Ellinas, Johanna Vorwerk +1
Modern power systems require fast and accurate dynamic simulations for stability assessment, digital twins, and real-time control, but classical ODE solvers are often too slow for…
Neural Networks for AC Optimal Power Flow: Improving Worst-Case Guarantees during Training
Bastien Giraud, Rahul Nellikkath, Rahul Nellikath +3
The AC Optimal Power Flow (AC-OPF) problem is central to power system operations but remains computationally challenging to solve due to its non-convex, nonlinear nature. Neural ne…
A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security Boundary
Bastien Giraud, Lola Charles, Agnes Marjorie Nakiganda +2
Dynamic security assessment (DSA) is crucial for ensuring the reliable operation of power systems. However, conventional DSA approaches are becoming intractable for future power sy…
Using Quantile Forecasts for Dynamic Equivalents of Active Distribution Grids under Uncertainty
Johanna Vorwerk, Thierry Zufferey, Petros Aristidou +1
While distribution networks (DNs) turn from consumers to active and responsive intelligent DNs, the question of how to represent them in large-scale transmission network (TN) studi…
Modelling of Variable-Speed Refrigeration for Fast-Frequency Control in Low-InertiaSystems
Johanna Vorwerk, Uros Markovic, Petros Aristidou +2
In modern power systems, shiftable loads contribute to the flexibility needed to increase robustness and ensure security. Thermal loads are among the most promising candidates for…