Reactive Power Optimization Using Firefly Algorithm for Dispersed Electric Vehicles Charging Stations in Radial Distribution System

Abstract: Electric vehicle charging stations (EVCSs) in the distribution system are attracting more attention these days. Several technical and economic issues are associated with their management and the overall power drawn from the grid. Reactive power compensation has also been identified as a key operational consideration when using such systems. While utility-based reactive power units can be operated within the system, reactive power compensating units commissioned by EVCS owners can help address issues such as expanded line loading capacity, reserved capacity, installed capacity, and increased line losses. While optimization methods such asgenetic algorithms and particle swarm optimization have been proposed, their practical implementation in largescale systems remains underexplored. As the number of EVCSs in the distribution network grows, the number of compensating units involved will increase, necessitating advanced optimization techniques to determine the appropriate rating for each EVCS at the charging station. The Firefly Algorithm, developed using MATLAB software, is employed to tackle this optimization problem. This work presents five cases that provide a line-by-line update on the proposed approach for identifying the role of reactive power compensating units in conjunction with EVCSs. The results are validated using the IEEE 14-bus and 30-bus systems. By addressing reactive power compensation challenges, the study contributes to reducing energy losses and ensuring a stable power supply. These advancements support the broader goal of sustainable energy transition and the widespread adoption of electric vehicles (EVs), ultimately fostering environmental conservation and energy equity.Cite this article as: N. K. Saxena, "Reactive power optimization using Firefly Algorithm for dispersed electric vehicles charging stations in radial distribution system" Electrica, 25, 0131, 2025. doi: 10.5152/electrica.2025.24131.