The modern power grid systems are changing rapidly, driven by a societal and environmental push towards use of clean and renewable energy technologies. However, the intermittency of renewable power generation sources and dynamic load demands has raised a significant challenge relating to their operation optimization. Managing strong source-grid-load-storage interactions in the power grids in turn increases complex and high-dimensional optimization problems. Therefore, a flexible and intelligent approach is required to economically adapt to the changing behavior of both consumers and renewable power generators. This paradigm shift will enable power delivery by actively and proactively managing the system performance to any dynamic situations in an optimal, controllable and economic manner. This special session will address and disseminate the state-of-the-art ongoing research and development results on optimization, control and management of renewable energy power systems for a sustainable and economical operation, aided by emerging artificial intelligence-enabled technologies.

Topics of the Session (but are not limited to)
• Smart grids/microgrids with renewable energy sources
• Power prediction and forecasting
• Power flow optimization
• Real-time energy management
• Demand-side response and management
• AI-empowered control including reinforcement learning
• Data-driven machine learning approaches and physical modelling approaches
• Energy cost modelling
• Economic power dispatch
• AI and digital twin-enabled solutions and applications