FINE-TUNING LOAD FREQUENCY STABILITY IN THREE-AREA POWER SYSTEM: CUSTOMIZING PID CONTROLLER VIA HYBRID GALACTIC GRAVITATIONAL OPTIMIZATION

The Hybrid Galactic Gravitational Optimization (HGGO) method of Three-area power system (3APS) control of frequency is the main subject of this work. The suggested method has advantages of easy implementation, computing efficiency and consistent convergence. The goal is to use the HGGO algorithm to fine-tune the Proportional-integral-derivative (PID) controller and create stable, trustworthy system. A thorough simulation of the three-area Load Frequency Control (LFC) system is carried out in MATLAB-SIMLINK environment. By optimizing PID control settings. The previous subject moves to the gravitational search algorithm (GSA), which is known for its optimization ability but is hampered by problems with local optima. This is addressed by the clustering-based learning used by the Hybrid Galactic Gravitational Optimization, which divides the programmed into clusters and uses a variety of techniques. To validate the proposed HGGO controller, load disturbances are applied to the power system and simulated outcomes for several HGGO-based load configurations are obtained