The system integrates technologies including cloud computing, big data, artificial intelligence, edge computing, and the Internet of Things to connect data across the entire source-grid-load-storage chain, building a new distribution operation system featuring. The system integrates technologies including cloud computing, big data, artificial intelligence, edge computing, and the Internet of Things to connect data across the entire source-grid-load-storage chain, building a new distribution operation system featuring. Siemens Distribution Automation functionality ranges from monitoring to fully automated applications, including FLISR (fault location, isolation and service restoration), voltage and reactive power compensation and power quality. Ensure an efficient, stable, secure and sustainable power supply and. This system is suitable for application scenarios such as urban distribution networks and campus microgrids. Currently, with the large-scale integration of distributed energy, traditional systems face issues such as slow fault response, coarse control, and fragmented data. It covers various ways this solution can be used, including: ● Monitoring secondary substations for scenarios like Fault Location, Isolation, and Service Restoration (FLISR) and Volt/VAR. At the heart of the forum, Kehua made a historic announcement: the global launch of the MR9. 0, the world's first 200kW high-density UPS module, certified by China's Tai'er Certification Center with the industry's first 1. 2MW UPS system certificate based on 200kW modules. 1% CAGR from 2023 through 2028. The increased densification from AI and HPC workloads requires. Edge computing enables localized data processing, which significantly reduces latency and optimizes bandwidth usage. This paper presents a systematic review of edge computing in energy distribution systems.