Motivation

The power grid, which was traditionally designed for a few large central power plants, must now integrate an increasing number of small, decentralized energy ressources (DERs), significantly increasing the need for automation and communication. This complexity arises primarily from the fact that the power grid must always maintain a balance between generation and consumption.

As part of the Next Gen Grid Control project, OFFIS aims to test these networks in its own laboratory for resilient grid operation. For this purpose, load profiles of the consumers in the grid are required for simulation. The insights gained from such simulations help to improve the efficiency and stability of both the current and future power grids.

Task

A load profile generator is to be developed and evaluated, capable of generating synthetic load profiles for various networks. The generator should be configurable based on various parameters (weather, number of people, etc.).

Profile

This project is aimed at students of Computer Science, Engineering Physics, or similar fields who are interested in the simulation of power grids, particularly load generators. Prior knowledge in cyber-physical energy systems, simulation, and Python programming is desirable but not mandatory. Applicants should be motivated and willing to work independently on this new topic. The work can be completed in either German or English.