Abstract:

There has been large scale EV integration into power grids resulting new challenges and opportunities for charging behavior of power grid operation. Several countries have introduced slow uptake of Plug-In Electric Vehicles (PEV) and it has been due to problems such as minimum availability of Charging Stations (CS) and long charging/waiting times. There is a necessity for an intelligent scheduling scheme, and this thesis comes up with a smart charging scheduling strategy meant for electric vehicles by employing Vehicle Ad Hoc Networks (VANET). The suggested smart change strategy identifies optimum charging stations for EVs so as to confirm minimum waiting, charging, and travel times. The challenge is named the multiobjective optimization challenge. Harris Hawks Optimization (HHO) and Ant Colony Optimization (ACO) have been employed to find a solution, and it plays a considerable part in minimizing the waiting time in an EV charging network. A newer strategy has been suggested to dispatch and allocate CS during different hours to minimize waiting times at public charging stations. Moreover, there is a possibility for EVs to reach the allocated CS through the shortest possible passage.