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Due to the impact of equipment components and the reliability of wireless communication, medium-voltage distribution terminals frequently experience disconnection anomalies; the success rate of remote control operations from terminals is difficult to ensure.
It is difficult to maintain the base data of medium and low voltage distribution network equipment and diagram models, and low-voltage automatic topology recognition has not been achieved. This makes it difficult to implement fault isolation, load transfer, and other functions in a practical way.
The distribution areas connect to a large number of distributed energy sources and high-power loads, leading to overloaded transformers, overloaded lines, frequency fluctuations, voltage violations, and phase imbalance problems.
Currently, the distribution network control technology is unable to fully achieve comprehensive observability, measurability, and controllability of the massive amount of distributed new energy sources. The balance autonomy of feeders and transformer areas cannot be realized, resulting in insufficient new energy absorption capacity and limited flexibility in source-grid-load-storage interaction and regulation.
Using cloud computing, big data, AI, edge computing, and IoT technologies, the new distribution automation system is designed to meet the demands of massive distributed access and the new operational control requirements of the distribution network under "cloud-edge collaboration." It integrates data resources from all aspects of source-network-load-storage, building a new generation of distribution automation system. This system deepens the applications of rapid troubleshooting, precise load control, new energy coordination and interaction, economic operation of the distribution network, and lean operation of the network, achieving comprehensive network awareness and multi-level coordinated control, fully supporting the safe operation of the grid and the consumption of distributed energy.

                    
                
High-reliability and high-safety distribution terminals
Based on a fully domestic, highly reliable design platform with key chips and components, the distribution terminal adopts a dual-channel design with 4G/5G. Edge devices use low-power, high-safety communication methods like LoRa/WAPI.
                    
                
Plug-and-play automatic topology mapping
By using IoT information technology modeling and low-voltage automatic topology technology, medium- and low-voltage equipment can start running immediately upon powering on. The configuration is maintenance-free, and the relationship between low-voltage devices at all levels is automatically analyzed, generating electrical wiring diagrams, which improves the accuracy and real-time nature of fault self-healing.
                    
                
Improving the power supply quality of the low-voltage distribution network
By utilizing the distribution cloud main station and integrated terminals at the transformer area, automatic voltage and power balance adjustments are achieved to improve power quality.
                    
                
Coordinated control of source, grid, load, and storage
Orderly integration of distributed power sources, real-time regulation of massive new energy equipment, off-grid control, and rapid troubleshooting achieve feeder and transformer area balance autonomy, with optimal collaborative control of source, grid, load, and storage.
                         
                    
The system is an automation system for monitoring and controlling equipment in the substation/distribution station house. By using advanced sensors and monitoring equipment, it can monitor the operational status of electrical equipment, environmental information, and fire and safety information in the substation/distribution station house in real time to ensure the safe operation and effective management of equipment. It also provides real-time alarm functions for abnormal conditions and remote control functions, making it convenient for maintenance personnel to remotely operate and maintain distribution station equipment, significantly improving the reliability and management efficiency of substation/distribution station operations.
                         
                    
The new distribution transformer area autonomy solution integrates an intelligent IoT system and adopts a distributed architecture. By adding intelligent fusion terminals, power quality analyzers, intelligent molded case circuit breakers, intelligent mini-circuit breakers, communication terminals, and other devices to the transformer area, it enables real-time monitoring of new energy equipment such as wind, solar, and energy storage systems. This allows comprehensive awareness of the operational status of the transformer area's power distribution facilities, achieving unified coordination and control of power generation and consumption within the transformer area, and completing energy autonomy at the transformer area level.