Intelligent Control and Optimization Technologies in Power Generation Systems

Dear Colleagues,

With the rapid development of the global economy, the demand for energy is growing rapidly. Currently, renewable energy and traditional fossil energy constitute the primary bases of power provision. High energy conversion efficiency plays a key role in power generation systems and can both improve the power generation and decrease the pollutant emissions. More importantly, intelligent control and optimization technologies are efficient ways of improving the performance of power generation systems with low cost and high efficiency.

In this regard, this Special Issue aims to collect review and working articles from around the world which cover and illuminate the state of the art of development of energy power systems, renewable energy systems, intelligent control and optimization technologies, and their recent technological spread. We aim to present discussions of different types of applications for energy power systems based on intelligent control and optimization technologies, with areas such as artificial intelligent control, neural network, intelligent optimization, multi-objective optimization, machine learning, intelligent building, etc., featured heavily

The SI topics outlined above will have a large impact among colleagues from universities and academia in general, as well as scientists, policy makers, practitioners, and students in the fields of power system engineering, energy engineering, automotive engineering, etc.

This SI aims to cover recent developments in energy system control and optimization and deal with the continuous technology advances in the domain of intelligent modeling, control and evaluation for power generation system and electrical grids. The scope of this SI includes the following:

1. power generation system
2. renewable energy system
3. fuel cell
4. hydrogen power system
5. solar energy power system
6. energy storage devices
7. batteries
8. distributed energy resources
9. intelligent modeling on energy system
10. multi-objective evaluation and optimization
11. machine learning and deep learning
12. big data technology
13. power transmission technologies
14. building energy system
15. new energy vehicles
16. water and heat management in fuel cell
17. dynamic control in new energy system
18. robust control in new energy system
19. digital twin technique

Prof. Dr. Xi Chen
Dr. Jia Liu
Dr. Yuxuan Ding
Guest Editors

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• renewable power generation
• fuel cell
• intelligent control and optimization
• smart grid
• system optimization