Published Paper Details:

The rapid growth of electric vehicles (EVs) has brought about the imperative an increase in EVCI (Electric Vehicle Charging Infrastructure) to meet the surging demand. Within this context, our project confronts the critical challenge of strategically situating EV Charging Stations (EVCS) within a distributed power network with the dual objectives of minimizing voltage losses and associated costs. To accomplish this, we implemented a two-step methodology. First and foremost, we harnessed the Forward- Backward Sweep method to comprehensively assess voltage loss across the network. This initial phase yielded a granular understanding of the voltage profile, enabling us to pinpoint areas of concern and prioritize their mitigation. Subsequently, we devised a cost function, considering diverse factors such as installation and operational expenses, to quantify the economic ramifications of deploying EVCS at distinct locations within the network. Consequently, we applied an Arithmetic optimization algorithm to identify the best position for EVCS, a placement that simultaneously minimizes voltage loss while optimizing costs. By iteratively fine-tuning the positioning of charging stations, we unearthed solutions that strike an equilibrium between network performance and financial prudence. The results of our project serve as compelling evidence that through the systematic application of optimization techniques, it is feasible to the lion's share advantageous places where EV Charging Stations are located in a distributed network. By better utilizing the infrastructure for charging electric vehicles, this not only strengthens the distribution system's dependability and efficiency but also promotes the adoption of electric vehicles on a sustainable basis. Our findings offer invaluable insights to utility companies, policymakers, and stakeholders engaged in the planning and expansion of EVCI networks, promoting an economically and technically astute approach.