Contact

University of Oldenburg
FK II – Department for Computer Science
Digitalized Energy Systems Group
D-26111 Oldenburg

Secretary:

Meike Burke

Regina Knippenberg

A05 2-227

+49 (0) 441 - 798 2878

+49 (0) 441 - 798 2756

Head

Prof. Dr.-Ing. Astrid Niesse 

A05 2-226

+49 (0) 441 - 798 2750

+49 (0) 441 - 798 2756

Details

DES-News

DES group is releasing the source code of various research projects!

Comprehensibility and reproducibility are two core characteristics of good research. In order to make research results more comprehensible and reusable, the Digitized Energy Systems Group is now making source code from various research projects publicly and freely available on GitLab.

Comprehensibility and reproducibility are two core characteristics of good research. In order to make research results more comprehensible and reusable, the Digitized Energy Systems Group is now making source code from various research projects publicly and freely available on GitLab.

There is code available for the description and the aggregation of flexibility. Flexibility can be gained from energy storages or the flexible operation of generators, e.g. PV plants, and can be used to balance generation and consumption in the energy system at any time. Energy Storage Optimization for COHDA1 can be used to create multi-criteria schedules for energy storage that can be used in COHDA negotiations. In Reinforcement Learning, there is a trained agent that solves an Optimal Power Flow and an agent that controls a distribution grid with a reactive power market. Further, a game-theoretical action graph model of a balancing capacity market is published, which computes equilibria in the case the electricity grid can break down into grid islands.

All code can be found on GitLab at https://gitlab.com/digitalized-energy-systems.

 

1Heuristic for distributed solving combinatorial multiple-choice optimization problems, see doi

(Changed: 2021-08-31)