This article illustrates the application of an intelligent controller for load Frequency Control (LFC).A two-area interrelated power system (IPC) is considered for the LFC study.The study is further extended by considering a three-area interrelated power system.A reheat thermal power system is taken into consideration.Non-linearity such as, Governor-Dead-Band (GDB) and Governor-Rate-Constraints (GRC) are also considered in this article.Analysis of different intelligent controllers is done in this paper.The study focuses on the application of a Fuzzy-PID controller for load frequency control in interconnected areas.Artificial-Bee-Colony (ABC) optimization Technique is implemented for optimizing the PID controller parameters.Intelligent controllers such as NARMA-L2 and Adaptive Neuro-Fuzzy controller (ANFIS) are also proposed to see their effectiveness for Load Frequency control (LFC).The results of the suggested controller are compared with the conventional PID controller tuned with different optimization Techniques described in literature based on IAE, IATE, and ISE error metrics.Based on the settling time of the responses, the comparison is also done.By varying the Time-constant parameters of the system, the reliability and rigidness of the suggested controllers are observed.A load perturbation of 1% is given to each area of the interconnected system, and the frequency-response and Tie-line power response are observed in the MATLAB simulation environment.For absorbing the stability of both systems, eigenvalue analysis is also conducted.The models are simulated and analyzed in MATLAB 2018 @ Version.
