Application of High Reliability 5G Slice in Smart Grid

The purpose of this article is to discuss the application of highly reliable 5 G slicing technology in smart grid, and put forward a set of effective algorithm strategies to realize the efficient operation of smart grid. In order to achieve this goal, this article designs a slicing resource allocation algorithm based on multi-objective optimization to optimize the communication requirements of each service in smart grid. Furthermore, a slicing fault prediction and recovery algorithm based on machine learning is proposed to improve the reliability and stability of power grid communication. The results show that, compared with the traditional methods, the algorithm proposed in this article has a lower packet loss rate under different malicious nodes, and shows higher operating efficiency when dealing with large-scale power grid information. Through the application of optimization strategy, the overall energy consumption rate of power grid system has been significantly reduced. These results verify the superiority and practicability of the algorithm in smart grid communication. The application strategy of highly reliable 5G slicing technology proposed in this article provides a new solution to the communication problem of smart grid, and is expected to promote the optimization of power grid system.