In the context of the coordinated development of new energy sources and distribution networks, a hybrid energy storage two-layer optimal configuration model was proposed for the optimal configuration of distributed energy storage connected to distribution networks. The upper layer optimization determined the energy storage access location and capacity, and divided the power by Fourier transform, using super capacitor and battery to bear the power of different frequency parts respectively. The lower layer optimization was designed with the objective function of maximizing the benefits from low storage and high discharge operations. It was optimized using a combination of the particle swarm algorithm and the Pareto file. The model's rationality and effectiveness were confirmed through simulation experiments conducted on the IEEE33 nodes network. The results show that the model can achieve multi-objective comprehensive optimization, including reducing network losses, optimizing power index and reducing investment costs of energy storage equipment, which provides an effective solution for the optimal configuration of distributed energy storage connected to distribution networks.