Program Overview

This is a tentative program for reference only, program is subject to final confirmation. Final program will be available on early August, 2025.

Special Session I: Resilience enhancement strategy of power system against extreme events                                         

In the face of an increasingly unpredictable climate and the rising frequency of extreme weather events, ensuring the resilience of power systems has become a paramount concern for utilities, governments, and researchers. Power system resilience refers to the ability of the grid to withstand, adapt to, and rapidly recover from disruptive events, minimizing the impact on electricity supply and maintaining critical services. This special session covers different comprehensive resilience enhancement strategies to address the challenges posed by extreme events.

Related Topic:
1) Fault modeling and fault propagation mechanism under extreme events;
2) Resilience evaluation of new-type power system;
3) Power system planning against extreme events;
4) Power system operation during extreme events;
5) Optimal restoration of power system after extreme events;
6) AI-based applications for improving power system resilience.

Special Session II: Electricity market with a high share of clean energy and energy storage                                        

The electricity market can optimize the resource allocation of the power sector in different time scales. Different countries have developed their respective market structures and mechanisms. However, most electricity markets are designed for fossil-fuel-dominated power systems. With the increase of clean energy (e.g., hydropower, wind power, and solar power) and energy storage (e.g., pumped hydro and electrochemical), existing market designs might become incompetent to integrate renewables and guarantee power loads. Therefore, it is necessary to study the topic of the electricity market with a high share of clean energy and energy storage.

Related Topic:
• Long-term market for clean energy and energy storage
• Day-ahead and real-time market with a high share of clean energy
• Modeling of hydropower, wind, solar, or storage in the electricity market
• Ancillary service market design
• Pricing of clean energy and energy storage
• Market design with a high share of clean energy
• Coordination of different markets
• Electricity market simulation
• Market behaviors analysis
• Efficient market cleaning technologies

Special Session III: Control and Optimization of New Type Power Systems                                        

In the context of rapid global energy transformation, this session focuses on the research and practical applications related to new type power systems. Here, in-depth discussions revolve around innovative control techniques that can adeptly handle the fluctuating power flows resulting from the extensive integration of renewable energy sources. Advanced control and optimization strategies are devised to guarantee the stability and reliability of new type power systems, regardless of the intermittent nature of renewables. This session, indeed, paves the way for the construction of a cleaner, more efficient, and reliable power ecosystem, fostering a vibrant environment for knowledge exchange and innovation generation.

Related Topic:
• Variable Renewable Energy Sources Forecasting
• Economic Dispatch Optimization
• Control Strategies for Different Energy Storage Technologies
• Control and Optimization of Integrated Energy System
• Aggregation and Optimization of Virtual Power Plant
• Energy Management of the Integrated Energy System and the Virtual Power Plant
• Collaborative Modeling and Optimization of Power Transmission and Carbon emissions

Special Session IV: Nexus Between Smart Energy and Intelligent Transportation Systems under Dual Carbon Target                                       

Moving towards a low-carbon future, the proliferation of electric/hydrogen vehicles and the wide deployment of energy refueling stations would greatly deepen the interdependence of energy and transportation systems, accelerating the formation of integrated energy-transportation system (IETS). The development in intelligent transportation system is creating many emerging concepts such as car sharing and autonomous driving. These factors would profoundly reshape the human-driving dominated IETS. Meanwhile, advances in power-to-hydrogen, PV-ESS integrated charging station, etc. have also enriched the connotation in energy sector. The above revolution calls for advanced modeling and simulation techniques, as well as opening up a new direction in the IETS research field.

Related Topic:
-Modeling and simulation of IETS
-Low carbon operation & planning of IETS
-Mechanism design for stimulating flexibilities in IETS
-Synergy analysis between intelligent transportation system and smart energy system
-Resilience enhancement and vulnerability analysis of IETS
-Cyber-physical analysis of IETS

Special Session V: AI-aided control for more electric transportation system                                        

This special session explores the cutting-edge integration of artificial intelligence with control systems for advancing electrified transportation. As the world moves toward sustainable mobility, the complexity of managing electric transportation systems demands innovative solutions. This session brings together researchers, engineers, and practitioners to discuss how AI technologies can enhance the control, efficiency, and reliability of electric vehicles, charging infrastructure, and integrated transportation networks.

Machine learning approaches for optimizing power management and distribution in electric vehicles, advanced predictive control strategies for battery management systems, AI-driven solutions for electric fleet operations, intelligent charging infrastructure coordination, and robust control methods for electric propulsion systems. The session welcomes contributions addressing both theoretical frameworks and practical implementations, with particular emphasis on real-world applications and challenges in transitioning to more electric transportation systems. Topics of interest include but are not limited to the following.

Related Topic:
• Deep learning techniques for dynamic power allocation and energy management
• Reinforcement learning applications in electric vehicle control systems
• AI-enhanced fault detection and predictive maintenance
• Smart charging strategies and vehicle-to-grid integration
• Neural network-based control for electric propulsion systems
• Multi-agent systems for coordinating electric transportation networks
• Hybrid AI approaches for improving system reliability and efficiency
• Real-time optimization of electric vehicle performance and range
• AI solutions for electric public transportation systems
• Intelligent control strategies for electric aerospace applications