To shape a low carbon energy future has been a crucial and urgent task under Paris Global Agreement. Numerous optimisation problems have been formulated and solved to effectively save the fossil fuel cost and relief energy waste. However, the majority of the problems are of strong non-convex and non-smooth characteristics. Evolutionary computation is promising to provide powerful optimisation tools for intelligently and efficiently solving problems such as power and sustainable energy systems scheduling to reduce carbon consumptions.

Scope and Topics

This special session intends to bring together the state-of-the-art advances of evolutionary optimisation approaches for solving emerging problems in complex modern power and sustainable energy system. The submissions are encouraged to be focus on smart grid scheduling with integration of new participants such as renewable generations, plug-in electric vehicles, distribution generations and energy storages, multiple time-spacial energy reductions and other energy optimisation topics.

Potential submission topics include not but not limited to the below ones:
• Unit commitment, economic dispatch and optimal power flow
• Optimal smart grid scheduling and integration with renewable energy generations
• Intelligent coordination and control of plug-in electric vehicles
• Efficient powertrain management for hybrid electric vehicles
• Charging and discharging strategies for energy storage battery systems
• Internal and whole scale management for single and hybrid energy storage systems
• Energy reduction strategies for energy intensive manufacturing processes
• Parameters identification for photovoltaic models and PEM fuel cells
• Thermodynamic optimisation for heat exchanger design and Organic Rankine Cycle

Special session papers will be treated the same as the regular papers, included in the conference proceedings and indexed by IEEE Xplore and EI index.