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How to control power grids with lots of renewables?
The course focuses on one central question:
How can electrical power grids with a high share of uncertain and decentralized renewable energy generation be controlled and operated safely and reliably?
Using islanded microgrids as an example, we will explore primary and secondary control, forecasting, Model Predictive Control, and stochastic optimization. And it is not just about slides and equations: you will also work with Python/Jupyter notebooks, simulations, and small programming assignments to implement and test the methods yourself.
The course is taught in English, carries 6 Credits, and starts on 16 October 2026.
- When: Fridays, 8:15–11:30
- Where: Room 0641, Wilhelmshöher Allee
Interested? Have a look at the course page for further information or join us directly for the first session on Friday, 16 October.
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How to control power grids with lots of renewables?
The course focuses on one central question:
How can electrical power grids with a high share of uncertain and decentralized renewable energy generation be controlled and operated safely and reliably?
Using islanded microgrids as an example, we will explore primary and secondary control, forecasting, Model Predictive Control, and stochastic optimization. And it is not just about slides and equations: you will also work with Python/Jupyter notebooks, simulations, and small programming assignments to implement and test the methods yourself.
The course is taught in English, carries 6 Credits, and starts on 16 October 2026.
- When: Fridays, 8:15–11:30
- Where: Room 0641, Wilhelmshöher Allee
Interested? Have a look at the course page for further information or join us directly for the first session on Friday, 16 October.
Dates
How to control power grids with lots of renewables?
The course focuses on one central question:
How can electrical power grids with a high share of uncertain and decentralized renewable energy generation be controlled and operated safely and reliably?
Using islanded microgrids as an example, we will explore primary and secondary control, forecasting, Model Predictive Control, and stochastic optimization. And it is not just about slides and equations: you will also work with Python/Jupyter notebooks, simulations, and small programming assignments to implement and test the methods yourself.
The course is taught in English, carries 6 Credits, and starts on 16 October 2026.
- When: Fridays, 8:15–11:30
- Where: Room 0641, Wilhelmshöher Allee
Interested? Have a look at the course page for further information or join us directly for the first session on Friday, 16 October.