Natural disasters, such as floods and earthquakes, frequently cause widespread power outages and irreversible damage to equipment and consumers within the power industry. Ensuring a safe and uninterrupted electricity supply during such events represents a primary challenge for modern power system operators, a concept often termed network resilience. This paper proposes a network reconfiguration plan, integrated with photovoltaic (PV) resource management, to enhance the resilience of a power distribution network against natural disaster threats. The proposed approach minimizes the total expected costs, comprising both equipment repair/reinforcement and consumer outage costs, which serve as the objective function. Furthermore, the model incorporates AC power flow constraints, network reconfiguration logic, and PV resource capacity limits. Uncertainties—including active and reactive load demands, PV generation, and the availability of network components (such as main/reserve lines and PV resources)—are modeled using scenario-based stochastic programming. Scenarios are generated via the Monte Carlo method, with a subset selected using the Kantorovich reduction technique. Finally, the resulting stochastic optimization problem is formulated as a Mixed-Integer Nonlinear Programming model and solved using GAMS software. The proposed method is implemented and analyzed on 33-bus and 119-bus sample networks through four distinct case studies. Numerical results conclusively demonstrate that the integration of robust PV resources, combined with network reconfiguration, significantly improves network resilience under various natural disaster scenarios.