Akademik Veri Yönetim Sistemi
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, cilt.14, sa.2, ss.560-574, 2021 (TRDizin)
In power systems, the constant
frequency, constant voltage, and the power output are desired and determine the
quality of the generated electrical energy. Therefore, frequency control is
crucial in power systems. The parameters of conventional controllers used in
power generation plants are determined according to the system's
characteristics at the stage of installation, they cannot adapt to the changing
system dynamics as the lifespan of power plants increases. Thus, studies on the
automatic adaptation of controller parameters to the continuously changing
system dynamics are needed. In this
study, conventional PI and PID controllers applied to the power system for
frequency control of a hydroelectric power plant were examined comparatively
with Fuzzy Gain Scheduled PI (FGPI) controller and Adaptive Neuro-Fuzzy
Inference System-based PI (ANFIS-PI) and PID (ANFIS-PID) controllers in the
simulation environment. The obtained results demonstrated that Adaptive
Neuro-Fuzzy Inference System-based controllers were quite successful compared
to the others.