Abstract:

Facing the complex challenge of transitioning to clean energy, we must integrate renewables, ensure grid stability, and manage energy resources effectively. This lecture will explore AI’s transformative impact in this sector. She will address how AI navigates challenges like renewable integration, power converter integration and maintaining grid balance, and how it can effectively coordinate grid, thus enhancing renewable integration with grid security. She will present AI’s role in modeling of power converter dominated grids as well as safe deep reinforcement learning for grid control to improve performance.

Bio:

Qianwen Xu is Associate Professor at KTH Royal Institute of Technology, Sweden. She is the director of Intelligent Sustainable Grid (ISG) Lab @ KTH, and co-director of Dig-it Lab (Vinnova competence center). Her research interests include advanced control, optimization and artificial intelligence application of sustainable power systems and microgrids. As PI, She has received over 50 million sek funding from Swedish Research Council, Swedish Energy Agency, Vinnova, EU Horizon, Wallenberg WASP, C3.ai, Microsoft, Digital Futures,etc. She is Vice Chair in IEEE Power and Energy Society & Power Electronics Society, Sweden, and an Associate Editor for IEEE Transactions on Smart Grid, IEEE Transactions on Transportation Electrification and IEEE Journal of Emerging and Selected Topics in Power Electronics. She is recipient of 1st place winner of Nordic Energy Challenge 2022, Excellent Doctorate Research Work in Nanyang Technological University, Best paper award in IEEE PEDG 2020, etc. Her research work “Smart microgrid for sustainable communities” is selected by Royal Swedish Academy of Engineering Sciences (IVA) 100 list, 2023.

Registration Link:  https://events.vtools.ieee.org/m/422748