Dr. Yang Gao

Shanghai Jiao Tong University, China

Prof. Qian Ai

Shanghai Jiao Tong University, China

Dr. Xing He, Shanghai Jiao Tong University

Speech Title: Metaverse Framework Designing for Energy Scheduling in Energy Internet of Things Considering Emergence

Abstract: In the contemporary era, the Energy Internet of Things (EIOT) has emerged as a revolutionary force in the energy sector. It interconnects a vast array of energy - related devices, from smart meters and distributed generation units to energy storage systems. This interconnection enables real - time data collection and exchange, which is crucial for efficient energy management. However, the EIOT is not without its challenges. One of the most significant challenges lies in the concept of emergence. Emergence in the context of EIOT refers to the unexpected and complex behaviors that arise from the interactions of numerous individual components within the system. For example, the collective behavior of a large number of distributed energy resources during peak demand periods can lead to unforeseen fluctuations in power supply and demand. These emergent behaviors can disrupt the stability of the energy system and make traditional energy scheduling methods less effective. This is where the concept of a metaverse framework comes into play. The metaverse, with its immersive and interactive virtual environment, offers a new perspective for addressing these challenges in energy scheduling. By creating a virtual replica of the EIOT in the metaverse, we can simulate and analyze the complex emergent behaviors in a risk - free environment. This virtual model can take into account various factors such as the dynamic nature of energy generation from renewable sources, the randomness of user energy consumption, and the complex interactions between different components in the EIOT.

Prof. Tianguagn Lu, Shandong University, China

Speech Title: Hierarchical Control of Digital Twin in Smart Power Distribution and Grid - connection of Renewable Energy

Abstract: In today's rapidly evolving power industry, smart power distribution has become the cornerstone for ensuring reliable and efficient electricity supply. With the increasing penetration of various intelligent devices and communication technologies, the power distribution network is becoming more complex than ever before. This complexity, while bringing great potential for optimized operation, also poses numerous challenges. Digital twin technology has emerged as a powerful solution to manage this complexity. By creating a virtual replica of the physical power distribution system, digital twin enables real - time monitoring and accurate simulation. The concept of hierarchical control in digital twin for smart power distribution divides the control tasks into different levels. At the lower level, it can handle the real - time operation and fault detection of individual distribution equipment, such as transformers and switchgears. While at the higher level, it focuses on overall system optimization, coordinating the operation of multiple substations and distribution areas to achieve the best - overall performance. This hierarchical structure improves the control efficiency and flexibility, making the power distribution system more resilient to various disturbances.

Dr. Yang Gao, Shanhai Jiao Tong University, China

Speech Title: Digital Twin Modeling and Swarm Intelligence Control Strategies for Multi - Energy Virtual Power Plants

Abstract: The typical operation modes of digital twin in virtual power plants are diverse and dynamic. They involve integrating various distributed energy sources such as solar, wind, and energy storage systems, and coordinating their operations through digital twin - based platforms. These platforms utilize advanced data analytics and control algorithms to achieve optimal power dispatch, demand - response management, and grid - connection operation. Regarding the key technologies, they cover a wide spectrum. High - precision sensor technologies are essential for collecting real - time data from the physical components of the virtual power plant, which serves as the foundation for the digital twin model. Advanced modeling and simulation technologies are used to create accurate digital representations that can predict the behavior of the virtual power plant under different scenarios. In addition, communication and networking technologies ensure seamless data transfer between the physical and virtual worlds, enabling real - time monitoring and control.

Prof. Qian Ai, Shanghai Jiao Tong University, China

Speech Title: Typical Operation Modes and Key Technologies of Digital Twin in Virtual Power Plants

Abstract: Digital twin technology, a cutting - edge innovation, has brought about a paradigm shift in the operation and management of virtual power plants. By creating a virtual replica that mirrors the physical components and operational processes of a virtual power plant in real - time, digital twin technology enables us to gain deep insights into the complex interactions within the system. The typical operation modes of digital twin in virtual power plants are diverse and dynamic. They involve integrating various distributed energy sources such as solar, wind, and energy storage systems, and coordinating their operations through digital twin - based platforms. These platforms utilize advanced data analytics and control algorithms to achieve optimal power dispatch, demand - response management, and grid - connection operation.

Prof. Kangping Li, Shanghai Jiao Tong University, China

Speech Title: Key Technologies for Digital Twin - Aggregated Response and Market Transactions of Demand - Side Resources

Abstract: Digital twin technology, with its ability to create a virtual replica of physical entities, has opened up new possibilities for effectively managing these resources. By creating digital twins of demand - side resources like industrial, commercial, and residential loads, we can gain a more accurate and real - time understanding of their operation and behavior.
The aggregation of demand - side resources through digital twin platforms, enabled by intelligent scheduling algorithms and real - time communication technologies, allows for a more coordinated response to the needs of the power grid. This not only improves the response speed and effectiveness of these resources but also contributes to the overall stability of the power system.