Interaction of Smart Energy Systems with Electricity Markets
Your task
The electricity grid's variable markets and rising volatility necessitate flexibly controllable units to compensate for these volatility. All together single-family homes have big potential to contribute energy system's flexibility needs. The task of this thesis is to investigate different possibilities for the interaction of many single family homes controlled by optimization-based predictive control with electricity markets.
Your objectives
- Literature study on decentralized control of energy systems
- Investigation of interfaces to electricity markets
- Implementation of market-driven control strategies for predictive supervisory control
- Implementation of decentralized optimization approaches for the controller
- Comparison and validation in simulation studies
Your profile
- Field of Study: Electrical Engineering, Computer Sciences, Digital Engineering, etc.
- Ideally with some background in control engineering or optimization
- Programming experience with MATLAB, Python or (ideally) Julia
General information
- Joint supervision of the master’s thesis by BEST and the Institute of Automation and Control
- Integration into a dedicated team with good support
- Perspective of participation in follow-up projects after successful completion
- Financial compensation based on student staff salary scheme
We at BEST value and promote the diversity of skills of our employees and therefore welcome all applications. BEST also aims to increase the proportion of women and expressly encourages qualified women to apply.
Contact persons
Markus Gölles
BEST | Area 2.2 Automation and Control
markus.goelles@best-research.eu | +43 5 02378 - 9208
Martin Horn
TU Graz | Institute of Automation and Control
martin.horn@tugraz.at | +43 316 873 - 7025

- Employment type
- master's thesis
- Start of work
- starting immediately / by arrangement
- Fixed term
- 6-8 Months
- Wages
- salary by agreement
- Hours per week
- not specified
- First and last name
- Bernd Riederer
- Organization
- BEST - Bioenergy and Sustainable Technologies GmbH
- bernd.riederer@best-research.eu
- Street
- Inffeldgasse 21b
- City
- 8010 Graz
- Homepage
- https://www.best-research.eu/