Reliability-Driven Strategic Allocation of Renewable Integrated EV Charging Infrastructure in Radial Distribution System

Electric Vehicles (EVs) are vital for the progress of sustainable transportation, as they substantially lower greenhouse gas emissions and curtail the reliance on fossil fuels. The unplanned deployment of EV Charging Stations (EVCS) can degrade the reliability indices and disrupt distribution network parameters, resulting in diminished customer satisfaction. This work presents a reliability-focused method for the strategic allocation of EVCS integrated with Type 1 Distributed Generation (DG) in the IEEE 33 bus Radial Distribution System (RDS). The DG is combined with EVCS to improve the performance of distribution network parameters. The IEEE 33 bus RDS was divided into three distinct zones, with each zone equipped with an EVCS and a DG unit to improve charging accessibility throughout the network. The problem has been structured as an optimization task to enhance reliability indices. The Symbiotic Organisms Search (SOS) tool is used to determine the optimal solution. The obtained results have been validated by comparing it with the Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA). The analysis highlights that the strategic integration of EVCS with DG is vital for improving the reliability and robustness of power distribution networks.