Metaverse Framework Designing for Energy Scheduling in Energy Internet of Things Considering Emergence [version 2; peer review: 1 approved, 3 approved with reservations, 1 not approved]
Yechen HAN,
Wenjing ZHANG,
Yuanjun ZUO,
Zhuo CHEN,
Qian Ai,
Xing He,
Haihong ZHANG
Affiliations
Yechen HAN
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, 201100, China
Wenjing ZHANG
State Grid Hunan Electric Power Company Research Institute, Changsha, Hunan, 410007, China
Yuanjun ZUO
State Grid Hunan Electric Power Company Research Institute, Changsha, Hunan, 410007, China
Zhuo CHEN
State Grid Hunan Electric Power Company Research Institute, Changsha, Hunan, 410007, China
Qian Ai
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, 201100, China
The traditional scheduling approach, which primarily considers energy oligarchs like large-scale loads and large-scale generators, is challenged by the rapid rise of distributed energy resources (DERs) in energy internet of things (EIoT). Metaverse is emerging as one of the most promising technologies considering emergence from DERs in EIoT. Our work, from a macro perspective in the virtual space, provides a metaverse framework to harness the swarm intelligence that emerges from the aggregation behavior of massive diverse DERs in EIoT. The presented framework is built upon virtual twins, data science, systems theory, and 4th-Paradigm (data-intensive scientific discovery paradigm), enabling a novel energy scheduling mode. Our goal is to achieve data empowerment and intelligence improvement through data connectivity, virtual and real interaction, which will ultimately result in a new theory on complex system scheduling.
