Intelligent IEMS for DSO based on cloud-edge collaboration architecture

This article presents an integrated energy management system using IoT and cloud-edge collaboration technologies. It addresses the shift from single power management to thermal and power energy management, overcoming traditional EMS limitations in handling multi-energy data. The system supports multi-energy data modelling and plug-and-play functionality. It also caters to the growing personalized needs of users with household photovoltaic energy storage by enabling rapid iterative upgrades through cloud-edge-end collaboration. Furthermore, the system employs AI algorithms for predictive modelling of distributed energy, improving accuracy through cloud training and edge reasoning. Lastly, it facilitates the coordination of distribution network equipment maintenance, reducing operational difficulties and costs by generating work orders dan processing defects promptly.