A Novel fast improved aquila optimizer based MPPT for standalone PV systems under partial shading conditions

Abstract

In this work, a fast algorithm based on modification sincorporate dint oth erecent Aquila Optimizer is designed for the task of Maximum Power Point Tracking. The introduced algorithm was examined on a standalone PV system subjected to fiv edistinc tcomplicate dpar- tial shading conditions. A comparative study based on efficienc y,robustne ssa ndconvergence speed was carried out on fiv ewel lknow nalgorithms :PSO ,WOA ,GWO ,SS Aan dAO .The results indicate that the proposed Improved Aquila Optimizer (IAO)was in global superior over its competitors,especially in terms of the consumed convergence time. On average, the IOA algorithm was 26.9% faster than PSO, 21.6% faster than GWO and 31.% faster than AO, while maintaining either similar or superior efficiency.