Special sessions > Special session 10

 Special Sessions 10 (SS10):

Title: Machine Learning and Artificial Intelligence for smart grids and power systems

• Bruno Francois, (primary contact person), Centrale Lille Institute, L2EP, Lille, France, bruno.francois@centralelille.fr
• François Vallee, University of Mons, Power Systems & Markets Research Group, Mons, Belgium, francois.vallee@umons.ac.be
• Vincent Debusschere, Université Grenoble Alpes, G2ELAB - ENSE3 Grenoble INP, France, vincent.debusschere@grenoble-inp.fr

Special session theme:

Providing a reliable and efficient electricity supply is a key to ensure its welfare and sustainable wishes for addressing climate change. For enabling electricity decarbonization, modern power systems are experiencing fundamental transformations in structure and functionality, driven by the use of new technologies as renewable-based generation, Distributed Energy Resources (DERs), advanced sensors, new control systems, etc. These new technologies pose numerous operational challenges as variability, uncertainty, heterogeneity of hardware’s, complexity linked to the high number of assets and so on. This special session explores proposals, developments, and implementations of Artificial Intelligence (AI) solutions to address the aforementioned challenges.

Topics of interest include, but are not limited to:

• Integration of AI-based adaptive techniques for online power/voltage or other operational controls;
• Software hybridation of AI techniques with conventional techniques approaches for energy management systems;
• AI techniques for knowledge extraction from big energy databases;
• AI-based decision system for holistic and multi-energy systems;
• Intelligent coordination and management of IoT Distributed Generation-Storage-Controllable loads;
• AI techniques for maintenance and fault-detection;
• Control of inverter-based generators and microgrids relying on AI;
• AI applications for a resilient, secure, carbon-free electricity supply;
• Long-term planning issues solved with AI-based techniques;
• Shadow help for grid operation in decision support systems and SCADA