Development of An Optimal Location of Electric Vehicle Charging Stations in a Distribution Network

The growing popularity of electric vehicles (EVs) offers sustainability initiatives and urban infrastructure both opportunities and obstacles. The creation of an effective, sustainably located, and strategically placed network of charging stations is essential to promoting the rise of EVs. The creation of an ideal site model for EV charging stations that are connected to renewable energy sources like solar and wind power is the main goal of this study. This study presents the development of an optimization scheme for determining the optimal location of electric vehicle (EV) charging stations in the IEEE 33-bus distribution network using the Moth Flame Optimization (MFO) algorithm. The proposed model aims to minimize total power losses, and improve voltage stability. The MFO algorithm is applied to identify optimal locations that balance network load and enhance system performance. Simulation results on the IEEE 33-bus system demonstrate the following quantifiable improvements: a reduction in total power losses by 17% compared to CPLEX algorithm placement strategies and improved voltage stability from the simulation results shown.