Abstract:

The increasing use of electric vehicles and the integration of charging stations with solar power generation sources have led to a need for optimal use of electric vehicle charging stations in power systems. This research presents a comprehensive radial distribution network development planning model in two scenarios, considering the effects of distributed production (renewable and dispatchable) and electric vehicle behavior. The model uses real data from American highways and Capiola multivariate probability distribution functions to create suitable vehicle scenarios. The DEP problem is modeled as an optimization problem based on scenario, dynamic, and five one-year time frames. The results show that the technical characteristics of the network improve when electric vehicles and distributed production sources are present. The use of distributed generation sources (DGs) reduces equipment costs and undistributed energy in the system, but 10,000 uncontrolled vehicles have caused an increase in undistributed energy. The cost of equipment required for network development is almost as much as 5%.