The high proportion of distributed photovoltaic (PV) integration poses significant variability and accommodation pressure on the distribution network. Coordinated configuration of PV-storage systems not only enhances the flexibility of PV generation but also ensures the safe and stable operation of the grid. In response to the current issues of insufficient security assessment and the difficulty of balancing security and economy, a method for optimizing the configuration of PV-storage systems that considers both security and economy is proposed. Firstly, security evaluation indicators are constructed from the perspectives of distribution network nodes and lines. Secondly, a clustering algorithm is used to construct multi-scenario daily power curves as the data basis for optimizing the PV-storage system configuration. The lower-level operating model aims to minimize distribution network security risk, grid loss, and operating costs, while the upper-level configuration model aims to minimize distribution network planning and operating costs, and intelligent algorithms are used for solving. Finally, the improved IEEE33 node distribution network simulation results indicate that the proposed model can ensure the safe, stable, and economically efficient operation of the grid.