With the development of the energy Internet, the regulation scale of various control services of electric power is becoming more and more refined, and it is necessary to provide reliable communication support in an open and shared environment. Due to the advancement of Layer 2 Ethernet technology, power networks based on time-sensitive networking (TSN) functions have emerged, and 5G networks have been applied in more and more scenarios due to their low latency and high reliability technical characteristics. To this end, it provides end-to-end deterministic transmission guarantee across 5G and TSN. Real-time protection of power services such as power distribution automation, power consumption information collection, and intelligent power load control. In this paper, a cross-domain scheduling and routing method for control services is designed in a 5G+TSN network. Aiming at the problem of excessive scheduling overhead in power data transmission, a dynamic traffic balance management scheme based on mixed integer linear programming (MILP) was established for the first time. Next, this joint scheduling problem is solved by proposing an algorithm combining random and local search of multi-objective simulated annealing (called SA-JPRS algorithm), and finally it can be observed that the algorithm proposed in this study can effectively balance load balancing and Transfer These two power transfer metrics are compared to other systems through simulation to determine how fast or slow the latency is.