Optimal Location Of EV Charging Station, Shunt Capacitor And DG In Radial Distribution Network

Abstract

The increasing penetration of electricvehicles (EVs) and distributed generation (DG) into radial distribution networks creates new issues related to voltage stability, power loss, and load management. In response to these issues, this study is interested in the optimal placement of EV charging stations, DG units, and shunt capacitors to enhance the operational performance of the network. Metaheuristic optimization methods, namely Genetic Algorithm (GA) and Shuffled Frog Leaping Algorithm (SFLA) are utilized to find the best locations and sizes of these components subject to system constraints. The goal is to reduce total power losses and enhance voltage profiles throughout the distribution system. Comparative simulation outcomes reveal that the coordinated allocation method significantly outperforms uncoordinated methods, yielding higher efficiency and reliability. This paper provides a realistic solution to sustainable development and enhanced integration of EV and renewable energy technologies into radial distribution systems.