Open Theses

Bachelor Thesis

Supervisor: Martin Pietsch
Earliest start: immediately
Type: Bachelor Theses

The electricity grid represents the backbone of our modern society. Once it is disrupted, the impact on every aspect of everyday life is enormous. From the use of electrical devices to refrigerate food, to the operation of the mobile network, to water supply, everything depends on electrical energy.
In order to map these dependencies in the form of scenarios, the investigation of past crisis can provide helpful insights. In particular, historical crises will be analyzed according to their temporal and spatial distribution in order to make a generalization of disasters and their impact on distribution networks.

Besides an intensive analysis of past crisis events regarding the co-dependencies of electricity, information and communication technologies and water infrastructure, the other half of this bachelor thesis consists of the development of a crisis generator for distribution network simulations.
The simulator should be able to expose any distribution network as a graph-based model to historic or generic scenarios and map the scenarios influence on the systems performance.
This generic approach will be a tool for future grid restoration evaluation and help to find resilient instead of robust solutions for cities infrastructure.

Supervisor: Julia Barbosa
Earliest start: immediately
Type: Bachelor Theses

Understanding the energy demand is a major requirement for the planning and operation of sustainable energy systems. In the electricity sector, high resolution data collection is already a feature of many systems. Nevertheless, as the meters usually aggregate several different loads, the energy system modeler rarely has visibility of each load individually. In fact, the loads may not even be known completely. While installing independent meters is not financially – and in some cases, technically - feasible, using statistical tools to identify independent loads can provide important insights into the overall system and its optimization potentials.

This Bachelor thesis will study the high-resolution measurements of the electricity demand of different buildings on the campus Lichtwiese. The task is to determine independent load profiles by decomposing the measured values of the electricity demand. For this propose, the student will review previous literature in similar problems and apply at least one method to the available campus data. The goal is to obtain decomposed profiles which relate to the existing demand processes and can be used for further study of the campus Lichtwiese energy system.

Master Thesis

Supervisor: Christopher Ripp
Earliest start: immediately
Type: Master Theses

EINS develops together with an industrial partner a tool to simulate and optimize future multi-modal energy systems. This is yields consistent master plans of the Energiewende that directly shape the political and economic discussions in the energy sector. In this project the existing tool that is based on mixed-integer linear programming shall be modified to support the decomposition of the simulation / optimization work. This is necessary for large models, such as one that models all energy sectors in hourly resolution from now until 2050, which leads to very large problems (tens of millions of variables). For different general purpose decomposition approaches (Benders, Wolfe-Dantzig) it shall be examined how to optimally apply them to the problem, i.e. which splits are optimal. At least one algorithm shall be implemented in the existing framework and tested for its properties. Optimally, one could even develop problem- specific novel decomposition approaches.

Supervisor: Martin Pietsch
Earliest start: immediately
Type: Master Theses

The central planner optimization approach of a recent publication on sequential grid restoration by merging microgrids under communication constraints is to be reformulated, into a distributed algorithm that can be executed in each microgrid separately. The algorithm is supposed to ensure a distributed restoration of the electricity grid independent of information of the grid- topology and state. Reducing the optimization problem to distributed microgrids leads to more realistic scenarios, at the possible expense of optimality. Suitable evaluation criteria (e.g. pareto principle) must be identified and, if necessary, formulated in order to classify and compare the results to other work. In order to do so, the centralized optimizatio n of the whole grid over all timesteps needs to be reduced to each microgrid and its discrete decisions possibilities in each timestep.

Supervisor: Johannes Börner
Earliest start: immediately
Type: Master Theses

Internship and Master thesis with Siemens Technology in Munich

The internship position is in a research group on Autonomous Systems and Control with Siemens Technology in Munich. We are an interdisciplinary group of, among others, electrical engineers, physicists and mathematicians working on control topics with various fields of applications.

The goal of the internship is to work with fast and systematic decision strategies that stabilize a power system after a critical contincency. Today’s power systems are typically configured for N-1 security, which ensures that the failure of one component does not impact the security of supply of the entire system. In such manageable cases, contingency strategies exist to bring the system back into normal operation. However, when improbable events with large impact occur, e.g., due to a natural catastrophe or a malicious attack, contingency strategies do not exist, and the system is threatened by a blackout. You will focus on methods that support transmission system operators by suggesting systematic and fast actions to stabilize a power system after a critical contingency and thus avoid a complete blackout.

You will elaborate on modeling power systems as hybrid systems with discrete variables describing, for instance, the settings of phase-shifting transformers, opening breakers, fast load-shedding etc. First, it will suffice to model the power system through (linear) power flow equations and focus on selected decision strategies like load shedding. Later, you will incorporate more modeling details and consider a broader range of possible decision strategies.

After the internship, the work could be continued in greater depth within the scope of a master thesis.  The following three aspects could be examined in more detail therein.

  1. Consider more detailed, practically relevant, modeling approaches of the power flow, generation and other power system elements.
  2. Extend existing methods to a broader range of possible countermeasures, for example, adapting setpoints of conventional and phase-shifting transformers, or the setpoints for inverter-based generation.
  3. Analyze and adapt the developed methods for large power systems including several hundreds or thousands of busses.

Your qualifications:

  • You are an excellent student in Electrical Engineering, Physics or a related field.
  • You have good knowledge of optimization or static modeling of power systems.
  • You are experienced in Python, MATLAB or other programming languages.
  • You are fluent in English or German.

More facts about the internship:

  • The duration is according to your university’s guidelines regarding mandatory internships.
  • The application should include a current CV and a transcript of records.
  • The internship and thesis can be done remotely

No open topics? No problem

Even if we have no open topics, but you are interested in writing a thesis at our institut dont hesitate to ask us. Just send us a mail with your latest transcript of records and a current CV.

Pro Seminar / Project Seminar

You would like to complete your Proseminar / Projectseminar with us and think that our published bachelor and master theses sound interesting? 

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