Simon Sütterlin

Thursday, May 07, 2026, 11:00

online

Balancing the variability of renewable energy generation can be achieved through the use of battery and thermal storage systems. The optimal design of such systems requires a joint treatment of sizing decisions and closed-loop operation. To address this, we propose periodic stochastic optimal control formulations that approximate long-term operation by exploiting periodic structure. Within this framework, we compare affine state- and affine disturbance-feedback policies. Due to high computational complexity of affine disturbance-feedback optimization, we consider truncated disturbance-feedback OCP formulations, for which we establish a monotone ordering result. In contrast, the nonconvexity of affine state-feedback formulations motivates the development of tailored numerical solution methods. Numerical case studies for battery and thermal energy storage models demonstrate that the proposed methods substantially improve tractability and computational efficiency.

The defense will be streamed online via Zoom at the following link:

Topic: syscop public

https://uni-freiburg.zoom-x.de/j/62791737415?pwd=UDJnbkZlS3NkVm1TSVZLSWxHSktZZz09

Meeting ID: 627 9173 7415

Passcode: syscop2021