Smart Converters for Climate-neutral Society: Artificial Intelligence-based Control and Coordination

Purpose and goal:

Moving towards decarbonization, power systems are facing voltage stability caused by intermittent renewable generation. Power converters that are widely integrated into the grid have in theory enough controllability to address the voltage stability issues. However, current model based algorithms cannot handle the high volatility. This project aims to address these challenges by leveraging AI-based control and coordination to develop smart converters to secure the sustainability of the grid.

Expected results and effects:

The project will develop AI-based software solutions for control and coordination of smart converters to secure voltage stability. The results will add significant value to industry including the advanced AI solutions, active grid management, and grid data analytics that have been tested on real hardware. The results will secure a high ratio of renewables in the sustainable power system, and lead to significant CO2 reduction at both national and international level.

Approach and implementation:

The project will be implemented in cooperation between academic and industry experts in AI and data driven decision making, power systems, electronics, distributed optimization/control, and commercialization of smart grid technology. State-of-the-art AI algorithms for smart-grid coordination and control will be developed and tested on realistic simulation models on real hardware.