Hybrid Algorithm of PSO and GWO Based PITIDF Controller for Load Frequency Control of Two-Area Power System

In today's world, most power systems are interconnected to enhance the reliability of electrical system operation. Hence, load frequency control (LFC) has proven to be a difficult task for power system engineers. When several power generation sources are used, the complexity of the task is increased. In this work, it is suggested to use a PI controller with a TID (tilt-integral derivative) included DF (derivative filter) (PITIDF) for LFC task of a two-area interconnected power system. Furthermore, the suggested PITIDF controller parameters are optimized by a new hybrid optimization technique known as Particle Swarm Optimization and Grey Wolf Optimizer (PSO-GWO). The suggested optimization technique, in particular, controls the tie-line power and frequency deviation in the considered two-area power systems. The suggested hybrid algorithm-based PITIDF controller is compared to various control methods in order to evaluate its effectiveness. The studied system will be exanimated under variable perturbation in load (case 1: 1% step load for area 1 and 3% step load for area 2; case 2: variable Load) and changing of system parameters (case 3: step load with parameter uncertainties) to demonstrate the proposed method's robustness. The results obtained from all simulations, using MATLAB-Simulink tool, and shows that the proposed method achieves excellent results such as minimal objective values obtained for the two-area system.