Control and Integration of Grids

Welcome!

The research group Control and Integration of Grids at INATECH of the University of Freiburg, led by Prof. Dr. Anke Weidlich, focuses on the sustainable transformation of energy systems. Their research combines technical, economic, ecological, and social perspectives to model and evaluate electricity markets, grid flexibility, and system integration. Using optimization models and agent-based simulation, the group investigates the interplay between market design and grid operation, particularly in the context of sector coupling and the integration of renewable energies.

News

Novemer 2025

Two nominations for the GEE Award

At this year’s award from the Energy Forum Berlin for outstanding academic work on energy science topics, presented by the Society for Energy Science and Energy Policy (GEE), two of the six nominees come from our team: Tim Schubert in the best thesis category and Nick Harder in the best dissertation category. We’re keeping our fingers crossed!

October 2025

University Teaching Award

Prof. Dr. Anke Weidlich received the University Teaching Aard for her overall teaching activities. The award honors her consistently excellent student evaluations, interactive teaching style, and engagement in the learning process.

September 2025

Project kick-off

Im Nachfolgeprojekt ADAPT – “Adaptive AI-supported Simulation Toolbox for Energy Markets” Design wird das ASSUME-Framework weiterentwickelt

July 2025

Excursion to agri-PV plant

Teilnehmende der Vorlesung “Nachhaltige Energiesysteme” besuchten gemeinsam eine Agri-PV-Anlage in Löffingen

May 2025

Fourc contributions to EEM conference

Mit Célia Burghardt, Tim Fürmann, Dimitrios Papadopoulos und Mirko Schäfer präsentierten 4 Teammitglieder ihre Ergebnisse auf der European Energy Markets Conference in Lissabon

April 2025

Discussion paper

Wie können dynamische Netzentgelte in Deutschland ausgestaltet werden?

April 2025

Successful PhD defense

Für seine Doktorarbeit “Modelling electricity markets with
multi-agent deep reinforcement learning” erhielt Nick Harder den Grad Dr.-Ing. mit Auszeichnung

Team

Team members and associates

To team

Research

Topics and projects

To research

Study and teaching

Our course offer

To study and teaching