Consistent optimization and stabilization of electrical network systems (KONSENS)
Due to the energy transition and new technologies, the automatic system management of electrical grids requires new mathematical approaches to make the flexibility potentials within and between the grid levels describable and usable. Therefore, four subprojects are dedicated to the continuous optimization and stabilization of the grid system.
The aim of the project is to develop mathematical methods and algorithms for the optimization and stabilization of the power grid. In addition, as the project expands into epidemic research, models will be developed to predict the evolution of the COVID-19 pandemic and to study the impact of countermeasures.
Participations:
Ilmenau University of Technology
Prof. Dr. Karl Worthmann
Faculty of Mathematics and Natural Sciences
Weimarer Str. 25 Curiebau, Room C 336, 98693 Ilmenau
Tel.: +49 3677 69-3624
Email: Karl.Worthmann@tu-ilmenau.de
Prof. Dr. Thomas Hotz
Department of Probability Theory and Mathematical Statistics
Weimarer Str. 25 Curiebau, Room C 236, 98693 Ilmenau
Tel.: +49 3677 69-3627
E-Mail: thomas.hotz@tu-ilmenau.de
Chemnitz University of Technology
Prof. Dr. Stefan Streif
Faculty of Electrical Engineering and Information Technology, Chair of Control Engineering and System Dynamics
Tel.: 0371 531-31899
E-Mail: stefan.streif@etit.tu-chemnitz.de
Prof. Dr. Christoph Helmberg
Faculty of Mathematics, Chair of Algorithmic and Discrete Mathematics
Tel.: 0371 531-34122
E-Mail: helmberg@mathematik.tu-chemnitz.de
More partners
Energy Saxony e.V.
ENSO NETZ GmbH
Max-Planck-Institut für Dynamik komplexer technischer Systeme
TenneT TSO GmbH
Venios GmbH
Project Duration: 01/2018 – 06/2021
Funding Provider: German Federal Ministry of Education and Research
Website:
https://www.tu-chemnitz.de/tu/pressestelle/aktuell/8734
Publications:
https://link.springer.com/book/10.1007/978-3-031-25699-8
https://epubs.siam.org/doi/abs/10.1137/20M1387687
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257598
https://www.degruyter.com/document/doi/10.1515/auto-2019-0075/html