KENDALI OPTIMAL PEMBANGKIT LISTRIK TENAGA MIKRO HIDRO (PLTMH) DENGAN PID OPTIMAL MENGGUNAKAN BACTERIAL FORAGING PARTICLE SWARM OPTIMIZATION (BF-PSO)

This research aims to optimally improve the efficiency and performance of the power system. This research method aims to find the type of method that is suitable for the Micro Hydro Power Plant (MHP) system by increasing the excitation voltage on the generator and adding the PID algorithm control system to reduce undershoot and overshoot in a system and also the Bacterial Foraging Particle Swarm Optimization (BF-PSO) algorithm to optimize. The power system model used to determine more stable parameters and perform stability analysis. The results of the PID method with the Bacterial Foraging Particle Swarm Optimization (BF-PSO) algorithm are better or more optimal which can be seen from the lowest overshoot value of 1.14%, and has the fastest time to reach a stable state of 5 seconds. In addition, the BF-PSO method also has the smallest percentage error of 0.017% compared to other methods.