Research project Smart Converters for a Climate-neutral Society: AI-based Control and Coordination

Power grids face stability challenges as they incorporate more renewable energy sources, such as solar and wind. Power electronic converters – devices linking renewables to the grid – have the potential to keep voltages stable. But current control methods struggle with the grid’s volatility and complexity.

This project uses advanced artificial intelligence (deep reinforcement learning) to enable data-driven, efficient control and coordination of smart converters. We train and test these AI algorithms on both simulation models and real laboratory microgrids, bridging the gap from theory to practice.

A collaborative team from Stockholm University, KTH, and Hitachi Energy brings together expertise in AI and power systems to ensure the solutions are both innovative and practical. The AI-enhanced converters will actively support the grid, allowing a higher share of renewables without sacrificing stability.

Ultimately, this will contribute to a more reliable and climate-neutral electricity supply with significantly reduced CO2 emissions.

This is Mohsen Amiri’s PhD project. Sindri Magnússon is the main supervisor.