With the continuous development and application of renewable energy, the proportion of clean energy including wind power in power systems has been increasing. To meet the wind power demand of typical loads in wind-rich regions, address the economic issues in wind-storage system configuration, and ensure power stability during grid connection, this paper proposes an optimal configuration method considering both economic efficiency and load demand. A bi-level programming model for wind-storage system optimization is constructed, where the upper-level objective minimizes the power difference between system output and typical loads, and the lower-level objective minimizes the annual average comprehensive cost. The particle swarm optimization (PSO) algorithm is used to solve this model. Case studies based on typical daily load demands show that the proposed model not only balances the economic efficiency of configuration and local load requirements but also meets the maximum power fluctuation limits for wind power grid connection, ensuring power system stability and safety.