Performance Evaluation of Nature Inspired Algorithms for MPPT in Solar PV Systems with Partial Shading

Abstract

Nature inspired algorithms have been found to be powerful in solving complex optimization problems due to the intelligence embedded in them. Some of these algorithms have also been used in tracking the maximum power point (MPP) in a partially shaded photovoltaic (PV) array. This paper evaluates the capability of five algorithms inspired from nature in tracking maximum power point under partial shading. The performance of the algorithms are compared in terms of their tracking accuracy, convergence time and implementation complexity to find the most suitable method for MPP tracking.