Open student theses

Here you can inform yourself about our currently offered theses. If we have aroused your interest and we do not offer any open theses here, please still feel free to contact our staff in the research projects or Ms. Anna-Lena Steen.

for further or own topics (considering the research foci and projects).


Master Thesis

Graph theoretical approaches in the optimization of a multi-energy grid expansion planning

In the research project “iNeP – Integrierte Netzplanung” a novel integrated grid expansion planning methodology is being developed. The new method integrates the electrical, heating and gas grids in a multi-energy grid in the context of the transition towards decarbonization. The rapid expansion of the electrical distribution grid presents significant challenges. The industrial sector's inclination towards hydrogen as a primary decarbonization strategy further complicates the landscape. This thesis explores innovative strategies for optimizing multi-energy grid expansion ensuring efficiency and security during the transition.


The primary objective of this research is to develop a grid planning optimization method that utilizes a graph theory-based model for the multi-energy grid. This model will represent sector-coupling technologies as vertices that connect various grids, with edges symbolizing the energy carriers and their directional flow. The focus is to create a unified graphical representation of the entire multi-energy system, encompassing electricity, heating, and gas sectors as shown in Figure 1. Graph theory-based approaches also offer great advantages in solving complex grid optimization problems by enabling the application of energy routing as well as cost minimization algorithms.


The expected outcome is a comprehensive method for cross-sector grid planning using graph theory implemented on suitable examples.


The following structuring of the work is suggested:

  • Initial training in Python tools for grid calculation (Pandapower, Pandapipes) and graph theory.
  • Research in graph theory.
  • State-of-the-art analysis in multi-energy grid modeling.
  • Developing a suitable use case for planning a multi-energy grid.
  • Developing a method for generating multi-energy network models using graph theory.
  • Developing a grid planning optimization method utilizing the graph theoretical model.
  • Application of the method to the planning use case.
  • Discussion and validation of the results.


Following this work, the results are to be reported in a presentation.


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