Given the increasing complexity and vulnerability of modern power systems, traditional electric power network (EPN) design and management methods have proven insufficient in the face of extreme weather events such as hurricanes. This paper explores the potential of digital twin (DT) technology as a dynamic tool for real-time monitoring, predictive analysis, and system optimization. By constructing a three-dimensional digital replica of the entire substation infrastructure, the study demonstrates how DT integration can significantly enhance the resilience of power grids and improve the efficiency and accuracy of engineering design processes. A thorough digital twin model of the electric power network is created in this study, which includes important system components such power plants, substations, transmission and distribution lines, and end-user connections. According to simulation results derived from this modeling technique, Hurricane Ike is predicted to result in major power disruptions that will impact the majority of users. In particular, it is estimated that 96.4% of residential structures, 96.0% of commercial buildings, and 94.2% of industrial buildings will experience power outages, illustrating the serious effects of such natural disasters on the supply of electricity in many industries.