Grid Stability
For electricity grids to function, there must be balance between the electricity going into the grid and the electricity leaving it.
Grid Stability uses AI and machine learning to quickly analyse power grid stability as more low-carbon technologies like wind, solar, EVs and heat pumps connect. It replaces slow, complex simulations with rapid, AI-driven assessments, enabling real-time monitoring, faster decision-making, and more confident planning. This helps grid operators maintain reliability while scaling up clean energy solutions and cutting emissions.
Grid Stability is led by The University of Manchester.
“The Manchester Prize is a very, very new thing for us. We have done research for most of our professional or academic lives, and we are very excited to see what our research has led us to and the possibility of making a change and having real-world impact.” – Panagiotis Papadopoulos, University of Manchester
