Mayfly Algorithm Optimized FOPID Regulator for Frequency Improvement in Wind Power Systems

The purpose of this article is to discuss frequency improvement in wind power systems (WPS). The result of the Mayfly algorithm (MA) to frequency enhancement is studied in the WPS with the support of secondary controllers PID and FOPID controllers (proportional-integral-derivative and fractional-order PID). The autonomous WPS includes a battery energy storage system (BESS) to aid the secondary controller. The responsiveness of the suggested approach to frequency variation was investigated in the MATLAB, Simulink working environment with a 1% load disturbance. The control response of the MA-FOPID and PID controllers is compared with the results of standard optimization techniques to show the preeminence of the proposed technique. The evaluation of the results indicates that the MA technique performs better than other optimization techniques for frequency improvement.