Research

Climate change and energy security motivate the wide utilization of renewable energy, hydrogen and electric vehicles.  Microgrids that connect these components can accelerate the transition, while current microgrid solutions encounter technical and economic challenges. We have developed a practical design and operation solution, consisting of an AI enhanced smart energy management system to maximize the profit and the utilization of renewable energy with guaranteed stability, a standardized hardware module structure for scalability, and a digital twin system for monitoring and maintenance. The solution can be directly deployed in buildings and energy communities in urban areas, industrial power plants for decarbonization (steel company and mining industry) as well as remote and arctic regions, for sustainable, economic, efficient and stable energy supply.

Part of our solution is the 1st place winner of Nordic Energy Challenge, 2022, for the sustainable arctic communities. Our solution also achieves energy-efficient buildings for buildings owned by City of Stockholm and Logicenters. We are currently collaborating with steel company to apply our solution for industrial hydrogen plant operation and control, and collaborating with mining manufacturer to apply our solution for sustainable mining process. 

Link: IVA's 100 List 2023: Smart microgrid for sustainable communities 

Presenting the winner of Nordic Energy Challenge – Nordic Energy Research 

Moving towards sustainability and climate security, electric power systems are going through a major paradigm shift with wide integration of distributed energy resources, such as solar PV, wind power and electric vehicles. However, today’s grid cannot handle high penetration of renewables and electric vehiclese, which will cause a violation of grid security. We have developed AI based decentralized solution by designing safe multi-agent deep reinforcement learning algrithms to coordinate inverter interfaced distributed energy resources by making them more adaptive and intelligent to stabilize complex and changing power grids.

Part of our solution is published in Github as open source, and tested in our microgrid hardware platform. Our solution achieves decentralized optimal control without real-time communiation. We are currently collaborating with power converter suppliers and grid operators for practical applications. 

Link:AI protects power grid from fluctuations caus | EurekAlert!