7 citations · 20 across the 6 of their papers we have counts for
6 papers
Systematic Gray-Box Identification Methodology for Voltage Source Converters
Nicolae Darii, Luis A. Garcia-Reyes, Ignasi Ventura Nadal +4
This paper introduces a systematic gray-box identification framework for voltage-source converter models based solely on terminal time-series data. The proposed approach combines a…
Physics-Informed Neural Network Models for EMT Simulators
Ignasi Ventura Nadal, Nicolae Darii, Petros Aristidou +4
This is the first paper, to the best of our knowledge, to propose a framework that integrates Physics-Informed Neural Network (PINN) models in Electromagnetic Transient (EMT) simul…
Toolbox for Developing Physics Informed Neural Networks for Power Systems Components
Ioannis Karampinis, Petros Ellinas, Ignasi Ventura Nadal +2
This paper puts forward the vision of creating a library of neural-network-based models for power system simulations. Traditional numerical solvers struggle with the growing comple…
Physics-Informed Neural Networks in Power System Dynamics: Improving Simulation Accuracy
Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis
The importance and cost of time-domain simulations when studying power systems have exponentially increased in the last decades. With the growing share of renewable energy sources,…
Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets
Ignasi Ventura Nadal, Samuel Chevalier
New generations of power systems, containing high shares of renewable energy resources, require improved data-driven tools which can swiftly adapt to changes in system operation. M…
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
Ignasi Ventura Nadal, Samuel Chevalier
This paper provides a systematic investigation into the various nonlinear objective functions which can be used to explore the feasible space associated with the optimal power flow…