Optimization-based control methods yield high potential for control of renewable energy systems, since these systems often highly depend on uncontrollable but predictable factors (e. g. the weather), where predictive scheduling of control actions can increase system efficiency and avoid shortages. However, the effort for controller design and implementation is high, and should be reduced for more widespread use of these methods.

The project OPT-NES addresses these optimization potentials by providing software for optimization-based control design for such systems. The software is distributed as open source software and shall facilitate use of optimization-based control for renewable energy systems by providing routines for automated setup of according optimal control and system identification problems.

OPT-NES is part of Forschungsallianz Oberrhein and a joint project of University of Freiburg and Karlsruhe University of Applied Sciences.


The involved PhD students and professors from left to right:
Prof. Dr. Angelika Altmann-Dieses, Adrian Bürger, Dimitris Kouzoupis, Prof. Dr. Moritz Diehl