Electric vehicle charging stations location optimization in distribution systems using meerkat optimization algorithm

Abstract

The meerkat optimization algorithm (MOA) is used in this study to suggest an effective multi-objective optimization framework for the best location and dimensions of electric vehicle charging stations (EVCSs) in radial distribution systems (RDS). The performance of the system in terms of power loss and voltage stability is significantly affected the growing prevalence of EV loads. To reduce the real power losses and average voltage deviation index (AVDI) while improving the voltage stability index (VSI), a multi-objective function was developed. The IEEE 69-bus system is subjected to various loading conditions using the recommended MOA, which is distinguished by its balanced exploration-exploitation process and parameter-free structure. In comparison with the basic and current methodologies, simulation findings show that the recommended approach improves the voltage profile, decreases power losses, and enhances the VSI. The advantages of the MOA in terms of convergence time, solution quality, and resilience were confirmed by a comparison with the HBA, TLBO, ALO, and FPA. The results confirm that the suggested approach is effective for modern EV-integrated distribution networks.