The present investigation examines the process of optimizing the gains for both the fractional order proportional integral derivative (FOPID) and PID controllers that are employed in automated voltage regulation (AVR). Investigating and assessing the effectiveness of the FOPID controller tuned with particle swarm optimization (PSO) using various optimization techniques is the main objective of this study. This study aims to evaluate and compare the overall efficacy of a PID controller with that of a PSO-tuned FOPID controller. The cost function employed in the evaluation procedure is the integral square error (ISE). The simulation results clearly demonstrate that the PSO-tuned FOPID controller outperforms the PSO-tuned PID controllers in terms of peak overshoot, undershoot, and settling time. The PSO's performance is also evaluated in comparison to other optimization approaches.