Improving the Maximum Power Point Tracking in Wind Farms with PID and Artificial Intelligence Controllers for Switched Reluctance Generators

Abstract

One of the most significant forms of renewable energy is wind power, which has been the subject of in-depth study to develop more dependable and efficient ways. Numerous research on wind energy have been conducted in the recent years. The most often discussed subjects include maximum power point tracking (MPPT) systems, kinds of generators used in wind turbine applications, control and stability of wind plants. Recent research on the VSWT has centered on developing MPPT technology. For a switched reluctance generator (SRG) powered by a variable speed wind turbine to generate the most power. By detecting the wind speed and adjusting the wind turbine shaft speed for the ideal tip speed ratio, MPPT is accomplished for the wind turbine. By altering SRG’s turn-off angle. The asymmetrical half-bridge converter system connected to the SRG. The MATLAB/Simulink environment is used to simulate the systems. This project presents PID and Artificial intelligent controllers as MPPT system. The PID and intelligent controllers regulate the SRG’s output power. The outcomes demonstrate that ANN controller outperforms the FL controller and PID controller in terms of accuracy and efficiency.