Journal of Electrical Engineering and Automation

This study optimizes real-time communication protocols for distribution automation terminals based on 5G and edge computing technologies, addressing critical challenges in power networks such as high latency, bandwidth constraints, and reliability issues. By establishing a low-latency communication architecture and implementing edge computing for local data processing, the proposed approach significantly reduces core network load. Through integration of 5G slicing technology and dynamic resource scheduling mechanisms, it achieves coordinated design of multi-service parallel transmission and protocol optimization. Experimental results demonstrate that this methodology effectively enhances real-time communication performance of distribution automation terminals, meeting smart grid requirements for efficient, secure, and low-latency connectivity.

5G; Edge computing; Distribution automation; Real-time communication; Protocol optimization