Analysis of Hybrid Fuzzy Logic Control Based PID Through the Filter for Frequency Regulation of Electrical Power System with Real-Time Simulation

In the present study, a teaching learning based optimization (TLBO) method tuned hybrid fuzzy logic control based PID through the Filter (FPIDN) is proposed for frequency regulation of the electrical power system problem. The studied electrical power system contains the non-linearity parameters like governor dead band, time delay, and generation rate constraint. The performance of TLBO is analyzed by applying a genetic algorithm (GA) method. It is observed that TLBO outperforms compared with GA. Next, an investigation has been carried out by placing static synchronous series compensator in the tie-line. It is demonstrated that TLBO outperforms GA technique in controller design problem. To confirm the capability of the recommended method, experimental commendation with the hardware-in-the-loop real-time validation based on OPAL-RT has been implemented. Finally, the performance of TLBO tuned FPIDN controller is equated with some recently suggested frequency control problem in a standard two-area system. From the simulation outcome, it is established that the suggested plan offers better compared with existing methods.