Studies of electrical engineering and information technology at Karlsruhe Institute of Technology (KIT). Bachelor’s thesis at the Institute of Photonics and Quantum Electronics (IPQ, 2012). Internship at the Inverter Control Department of Younicos AG (2015). Master’s thesis at IRS in the scope of the RegEnKibo research project on model predictive control of multi-carrier energy distribution grids with renewable energy generation (2015). Since March 2016, member of the scientific staff of IRS.

Multi-carrier energy management by distributed control agents

In the course of the energy transition in Germany and other parts of the world, conventional power plants are replaced by renewable energy generation (REG). Due to its volatility, new energy storage systems and innovative grid control techniques are required to ensure safe grid operation. By coupling different energy domains (e.g. power, gas and heat) additional synergy effects can be created through the optimization of power flows. For example renewable electric energy can be used to produce synthetic natural gas, in times of high REG, which can then be fed into the gas grid.

Research is aimed at achieving an optimal interaction of producers, consumers, storage systems, and energy converters in the different energy domains. The complex task of multi-carrier energy management is to be solved cooperatively by distributed interconnected control agents. This yields advantages in terms of redundancy and real-time capability of the energy management.