Strategic Placement of Electric Vehicle Charging Station Integrated with Distributed Generation using HMFO

Rising electric load from EVs charging may pose several operational issues in power distribution systems, including power imbalance, deviations in voltage profile, voltage instability, and increased active power losses. To address such challenges, this paper shows an optimized approach for deploying Electric Vehicle Charging Station (EVCS), integrated with Distributed Generation (DG), to support the growing EV demand and maintain power system stability. To check the system, the IEEE 33-bus system is utilized, and Load Flow Analysis (LFA) is conducted using the Backward-Forward Sweep (BFS) technique to evaluate power losses and voltage levels. A novel metaheuristic algorithm, known as Hybrid Moth Flame Optimization (HMFO), which combines the strengths of both the Moth Flame Optimization (MFO) and Firefly Algorithm (FA), is suggested to identify the site and size of EVCS and DGs. The HMFO method improves solution accuracy, convergence speed, and robustness. The obtained results shows that the suggested HMFO algorithm effectively enhances voltage stability, reduces voltage deviation, and minimizes real and reactive power losses.