Coordinated grid protection based on machine learning methods (Netzschutz-KI)
Third party funded individual grant
Acronym: Netzschutz-KI
Start date : 01.07.2024
End date : 30.06.2027
Project details
Short description
The project is focused on the development and implementation of a coordinated network protection system based on machine learning techniques. The goal is to create a comprehensive solution for fault detection, fault location, and selectively coordinated fault clearance in electrical supply network structures of all voltage levels. Traditional protection devices are to be replaced by trained agents that utilize the benefits of nonlinear classification techniques, competency learning, and the generalization capabilities of neural networks. The development includes several phases, including the generation of training data, the training of the neural networks in multiple steps, and the demonstration of the solution in a real-time lab. The aim is to develop a reliable, transparent, and universally applicable network protection solution that can be implemented both centrally and decentrally.
Involved:
Andreas Maier
Project Leader
Johann Jäger
Project Leader
Siming Bayer
Project Leader
Paula Andrea Perez Toro
Project Member
Tomás Arias Vergara
Project Member
Julian Oelhaf
Project Member
Contributing FAU Organisations:
Technische Fakultät
Lehrstuhl für Elektrische Energiesysteme
Professur für Elektrische Energieversorgung
Lehrstuhl für Informatik 5 (Mustererkennung)
