| Title |
Comprehensive Analysis of Multiple Sources of Uncertainty in a District's Low Voltage Grid |
| Description |
MOTIVATION
- 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
IN CASE OF INTEREST, PLEASE CONTACT:M.Sc. Sarah Fayed
Phone: +49 4921 807 1858
E-mail: sarah.fayed@hs-emden-leer.de |
| Home institution |
Institute of Physics |
| Type of work |
practical / application-focused |
| Type of thesis |
Master's degree |
| Author |
Dr. rer. nat. Sandra Koch
|
| Status |
available |
| Problem statement |
CORE TASKS
- 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
|
| Requirement |
YOUR PROFILE
- 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
|
| Created |
06/03/23 |
