With the continuous development of wireless energy transmission technology, the role of wireless rechargeable sensor networks (WRSNs) in smart grids has become more and more important. In this paper, after fully investigating the application of wireless energy transmission technology in smart grids, the solution vector of SFLA is discretized, and the IMSFLA model based on the hybrid frog jump algorithm is proposed to solve the wireless energy transmission planning problem in the smart grid. Finally, it is applied to the optimal design of the charging scheme of WRSNs, and the simulation results of the IMSFLA algorithm are compared and analyzed with those of the Taboo Search (TS) algorithm after exploring its wireless transmission performance. In terms of energy utilization, when the number of nodes is increased to 550, the energy utilization of IMSFLA algorithm is improved by 7% compared to TS algorithm, and when the number of nodes is increased to 550-800, the optimized results of TS algorithm deviates significantly more compared to IMSFLA algorithm. This indicates that the IMSFLA algorithm designed in this paper has a better effect on the optimization of the charging scheme of wireless rechargeable sensor networks, which is of great practical significance for improving the stability of the smart grid.