Electric Vehicles (EVs) stand at the forefront of decarbonization initiatives in the United States. State, federal, and utility incentives play a pivotal role in establishing the necessary charging infrastructure to support EVs. In North Carolina, Executive Order No. 246 has called for a 50% reduction in statewide greenhouse gas emissions from 2005 by 2030 and set a goal of at least 1,250.000 registered zero-emission vehicles (ZEV) in the state by 2030. Since an EV charging infrastructure can range from 3.3 kW- 500 kW, it is essential to analyze the impact of EVs on the prevailing power infrastructure. Integrated Resource Planning (IRP) serves as a "guideline" outlining possible strategies for a utility to address future energy needs and demand, weighing the risks and advantages for its customers. This thesis focuses on integrating EVs into the IRP process. Four power distribution feeders F1, F2, F3, and F4 of residential, commercial, urban-commercial, and industrial loads, respectively, were considered for this study. A bottom-up methodology was adopted in this study to analyze the impact of EV adoption on the distribution network and then the total demand of the feeders in the Carolinas. Realistic assumptions were developed to estimate the location, size, and charging behavior of different types of EVs. The results from the distribution level analysis were scaled up using the "Scale-Up Model" developed during the study. The results indicate that while some distribution feeders may be overloaded, others can host the expected EV load of 6.2%. Based on the assumptions, the impact at the system-level can be met by the planned resources.