Abstract: Optimizing site selection can significantly enhance the utility of energy storage equipment in the power system and improve the rationality of power resource allocation. Propose an optimization site selection method for energy storage equipment in power systems based on the RBF-PSO algorithm. Firstly, the PSO algorithm is used to obtain the optimal radial basis function center, complete the optimization of the RBF network, and use the optimized RBF network to predict the load of the power system. Secondly, based on the results of power load forecasting, the optimization objective is to minimize load fluctuations, voltage fluctuations, and daily comprehensive costs, and establish an optimization site selection model for energy storage equipment in the power system. Finally, the constraints of the model were set to obtain the optimal layout of energy storage in the power system under these constraints. The experimental results show that the proposed method can accurately obtain the load changes of the power system, and on this basis, more effectively achieve the site selection of energy storage equipment.