Technical and economic evaluation of renewable powered electric vehicle charging loads for New Delhi region

This chapter examined the architectural layout of the electric vehicle (EV) charging facility installed in Delhi, India’s northern area, with a specific emphasis on solar photovoltaic and grid-based solutions. If recommended configurations are technically and financially feasible, a variety of metaheuristic techniques are used. The main goal of the optimization technique is to minimize the cost associated with different components and energy costs while also reducing the risk of disruptions in power source. The enhanced bald eagle algorithm (EBEA) is applied to the problem to determine the feasible outcomes, and its findings are equated with those of other well-known existing algorithms. According to the simulation results, EBEA exhibited higher accuracy and resilience compared to PSO and GWO. Furthermore, EBEA outperformed the other algorithms in terms of computation time. By implementing EBEA, the energy cost is decreased to 0.482 $/kWh for the proposed configuration. These findings will assist investigators in defining the optimal approach for sizing the system components.