Addressing the specialized energy utilization requirements of railway traction power supply systems in remote off-grid regions of China, an innovative dual-layer optimization scheduling strategy was proposed for wind-PV-storage hybrid off-grid systems has been proposed. First, a wind-solar power output characteristic model was established, followed by the construction of typical temporal scenario sets for renewable energy generation. Subsequently, a source-storage-load dual-layer optimization scheduling model incorporating wind, solar, and energy storage was developed, along with corresponding model transformation and solution strategies. The upper layer determines dispatch power by minimizing comprehensive system costs through coordinated consideration of operation/maintenance expenses and wind/solar curtailment costs. The lower layer maximizes system resilience under off-grid conditions through a resilience index, ensuring optimal safety and stability. Case study simulations demonstrate the applicability of the proposed model for autonomous renewable energy railway systems in remote areas. The obtained source-storage scheduling results enhance renewable energy utilization and economic efficiency while ensuring system security and stability.