A Novel Optimized Golden Eagle Based Self-Evolving Intelligent Fuzzy Controller to Enhance Power System Performance

The basic goal of power system is to ensure that all users in the system receive a consistent supply of electricity of acceptable quality. Whenever there is equilibrium between the power requirements and the generated power, the network is said to be in equilibrium. Different control strategies have been provided in prior studies, but little attention has been devoted to how they work in the face of non-linearity. Thus, this work proposes a mathematical strategy for increasing the performance by using the Hierarchical Golden Eagle based self-evolving intelligent fuzzy controller (HGE-SIFC). Furthermore, a fuzzy interference hysteresis controller is used to generate switching pulses using the PWM approach. The main purpose of the proposed approach is to enhance response time, minimize steady-state fluctuations in injected active and reactive powers, and improve power quality regardless of changes in load as well as supply voltage parameters. MATLAB/SMULINK is used to display the results of the simulation. The proposed control method outperforms over conventional method in terms of controller execution time, increased power quality, Total Harmonic Distortion (THD) and stability.