Digital Twin Structure Monitoring System and Key Technologies of Distribution Network Based on Intelligent Communication Network

The continuous development of power market puts forward new requirements for power grid operation and power supply quality.Under this background, if electric power enterprises want to achieve sustainable development, they must strengthen management and technological innovation to improve their competitiveness.Currently, the distribution network construction is still dominated by the traditional cable transmission method, which has many drawbacks and can hardly meet the requirements of modern power production for communication capability.Digital twin technology is an advanced intelligent control method, which can effectively integrate information in complex systems.It can use data-driven to achieve real-time monitoring, fault detection and analysis functions, which can better help users improve the efficiency and security of power use.The intelligent communication network has the characteristics of good real-time, strong scalability and can quickly adapt to different environments, different devices and application scenarios.By building a complete set of distributed automatic control system, the goal of stable, reliable, efficient and energy-saving power system can be achieved.This paper presented the relevant calculation formulas of energy consumption and time delay in smart grid, and the effectiveness of the formula was verified through simulation.By combining the principle of heterogeneous sensors, a new intelligent integrated management system for remote monitoring of distribution lines was designed to realize a series of functions such as centralized meter reading, load forecasting, inspector positioning, online diagnosis, etc. of the intelligent dispatching center, which provided a theoretical basis for the optimal dispatching of the smart grid.This paper compared the traditional distribution network monitoring system with the distribution network digital twin monitoring system based on intelligent communication network.The results showed that the time delay and bit error rate of the optimized detection system had been significantly reduced, and the success rate of packet reception had increased by 10.4%; in addition, it could achieve higher accuracy and security and reduce operation