(The following topics include but are not limited to)
Track 1: Green Energy and Renewable Energy Technologies
Solar photovoltaic and solar thermal power generation technologies
Wind power generation system design and grid connection technology
Hydrogen production, storage and P2X system
Biomass energy, geothermal energy and ocean energy power generation technologies
Multi-energy complementarity and hybrid energy system optimization
Long-term energy storage technologies (electrochemical, pumped hydro storage, compressed air, etc.)
Carbon capture, utilization and storage (CCUS) technology
Offshore wind power and floating photovoltaic system integration
Power generation prediction and uncertainty handling of new energy
Frontier energy materials and devices such as solid batteries, perovskite photovoltaics
Distributed energy (photovoltaic, wind power) access and regulation technologies
Renewable hydrogen production and hydrogen storage integrated technology
Track 2: Smart Grid and Distributed Energy Systems
Smart grid architecture, standards and communication protocols
Microgrid planning, operation control and cluster autonomy
Virtual power plant aggregation scheduling and participation in the power market
Multi-dimensional coordination and efficient interaction of sources, grids, loads and storage
Flexible direct current transmission and multi-terminal direct current grid technology
AC/DC hybrid distribution networks and energy routers
Enhancement of grid resilience and assessment of resilience in extreme events
Smart sensing, advanced measurement and communication network technologies
Grid digital twin and real-time simulation technologies
Security and privacy protection of information physical power systems
Demand response and user-side interaction management
Grid fault diagnosis, protection and self-healing technologies
Track 3: Advanced Control Technologies and Power Systems
Application of artificial intelligence (machine learning/deep learning) in power systems
Physical information neural networks and data-driven modeling technologies
Application of deep reinforcement learning in energy system optimization scheduling
Exploration of large language models (LLMs) in grid scheduling and operation
Stability analysis of power systems and robust control strategies
Grid-forming and follower inverters control technologies
Hierarchical/distributed coordinated control of distributed energy
Electric vehicle and grid interaction (V2G/V2X) technology
Power system state estimation and situational awareness
Energy big data, cloud computing and edge computing technologies
Power market mechanisms, carbon trading and blockchain applications
Hardware-in-the-loop simulation and experimental verification methods
...