RCAE 2026 | Robotics, Control and Automation Engineering

Special Session 9

Intelligent Control and Simulation for Power Generation Systems

Introduction: The rapid transformation of the power generation industry toward low-carbon, intelligent, and secure operation has created urgent demands for advanced control, simulation, and optimization technologies. With the large-scale integration of renewable energy, multi-energy coupling, and digitalized power generation systems, modern energy systems are facing increasing challenges in dynamic uncertainty, operational efficiency, cyber-physical security, and coordinated control.
Traditional modeling and control methods often struggle to address complex nonlinear dynamics, multi-source disturbances, and security threats in power generation processes. Recent advances in artificial intelligence, large-scale AI models, digital twins, intelligent simulation, and cloud-edge collaborative control provide new opportunities for enhancing perception, prediction, decision-making, and defense capabilities in energy systems.
This Special Session aims to provide an interdisciplinary platform for researchers and engineers to share recent methodological advances and engineering applications in Intelligent Control and Simulation for Power Generation Systems. The scope includes AI-driven modeling and forecasting for renewable energy generation, energy consumption on the demand side, and thermal power systems; intelligent equipment development for energy generation systems; cyberattack detection and defense for power generation process control systems; and integrated optimization, dispatch, and collaborative control of multi-energy systems.
By bridging artificial intelligence, process control, simulation verification, and energy system engineering, this session seeks to promote innovative solutions for secure, efficient, and intelligent power generation, supporting the development of next-generation resilient and sustainable energy systems.

Organizer:

Yu Huang, North China Electric Power University, China

Dr. Yu Huang is currently a Professor in the Department of Automation at North China Electric Power University, where he also serves as Deputy Head of the Department. He received his Ph.D. degree in Control Theory and Control Engineering from North China Electric Power University in 2012. He further enriched his academic experience as a Postdoctoral Researcher at Tsinghua University and a Visiting Scholar at Baylor University.
Dr. Huang’s research primarily focuses on Intelligent Control and Simulation for Power Generation Systems, including artificial intelligence applications in energy systems, cybersecurity defense for power generation process control systems, and integrated optimization and control of modern energy systems. His recent work explores physics-informed large models for renewable energy forecasting, intelligent energy management, and thermal power system modeling, as well as AI-driven equipment development for energy generation systems. He has also made significant contributions to covert attack detection and defense methods for energy control systems, ensuring the safe and stable operation of critical infrastructure.
Demonstrating outstanding research capability, Dr. Huang has authored more than 100 academic papers in prestigious journals and conferences, including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, Energy, Control Engineering Practice, and Science China Information Sciences. His research achievements were recognized with the Second Prize of the China Electric Power Innovation Award in 2025.
Dr. Huang has led or participated in numerous major industrial and applied research projects involving intelligent control systems, integrated energy optimization, AI-based power system applications, and simulation verification for renewable energy and nuclear power systems. Furthermore, he actively serves the academic community as a committee member of the System Complexity Committee of the Chinese Association of Automation and as a reviewer for several internationally recognized journals in automation, energy, and intelligent systems.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2026
Please choose "Special Session 9"