||Comprehensive Analysis of Multiple Sources of Uncertainty in a District's Low Voltage Grid
IN CASE OF INTEREST, PLEASE CONTACT:M.Sc. Sarah Fayed
- The integration of multiple sources of uncertainty (e.g. electric vehicle charging, battery storage and renewable energy generation) leads to an increased complexity and variability in low voltage grids.
- This may result in an unpredictable behavior, leading to challenges for grid operators in maintaining stability and reliability.
- Therefore, it is crucial to develop accurate and reliable models for uncertainty quantification in these grids that help to forecast critical grid situations and guide the development of mitigation strategies
Phone: +49 4921 807 1858
||Institute of Physics
|Type of work
||practical / application-focused
|Type of thesis
Dr. rer. nat. Sandra Koch
- This thesis will involve analyzing electricity load and generation data to develop separate models for each source of uncertainty in a low voltage grid. The effectiveness of each model will be statistically evaluated.
- The separate models will be then integrated into a joint model to analyze the combined effect of uncertainties on the grid behavior.
- The joint model will be tested in an available electrical grid simulation of a residential district and comprehensively evaluated with the help of simulation scenarios.
- Preferred programming language: Python
- Completed or current university studies in the field of Energy Systems, Engineering Physics, Electrical Engineering, Data Science or comparable subject .
- Independent and reliable working attitude
- Python knowledge or programming affinity is required