An intelligent method for grid-connected HRES systems to reinforce power quality at its best EVORFA Approach

Abstract

The suggested hybrid strategy, also known as the EVORFA technique, combines the random forest algorithm (RFA) and Egyptian vulture optimization algorithm (EVOA). Voltage stabilization, power loss reduction, and exacerbating harmonic distortion are the main goals of this research. Load current, DClink voltage, and voltage sources are based on reduced error objective function; EVOA is primarily used to differentiate the ideal combination offline and produces the dataset of proportional integral gain parameters.Multiple parameters that are related to power quality (PQ) concerns are taken into consideration by EVOA. The RFA forecasts the best possible control.