DARE: Trainings-, Validierungs- und Benchmarkwerkzeuge zur Entwicklung datengetriebener Betriebs- und Regelungsverfahren für intelligente, lokale Energiesysteme

Project Period: 2021-10-01 – 2023-09-30
Externally Funded
Alternative Name
DARE: Training, validation and benchmark tools for the development of data-driven operation and control strategies for intelligent, local energy systems
Acronym
DARE
Principal Investigator
Sebastian Peitz, Gunnar Schomaker, Oliver Wallscheid
Department(s)
Regelungs- und Automatisierungstechnik (RAT) (bis 2023)
Kompetenzzentrum für Nachhaltige Energietechnik (KET)
Software Innovation Campus Paderborn (SICP)
Data Science for Engineering
Grant Number
Funding Organisation
Bundesministerium für Bildung und Forschung
Cooperator
Westfalen Weser Netz GmbH
WestfalenWIND GmbH

2 Publications

2023 | Conference Paper | LibreCat-ID: 54838
Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches
S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.
LibreCat | Download (ext.)
 
2023 | Conference Paper | LibreCat-ID: 54839
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.
LibreCat | Download (ext.)