A Comprehensive Review of Swarm Optimization Algorithms for MPPT Control of PV Systems under Partially Shaded Conditions

Abstract

Nowadays many researchers have been investigating
on different photovoltaic (PV) modeling methods, various
configurations of arrays, numerous algorithms, converter topologies
etc to improve the efficiency of solar system. Improving the
efficiency of solar panel by utilizing the correct maximum power
point tracking (MPPT) control has become more important for
conceiving the solar power reasonably. For designing an efficient
PV system, an appropriate literature review is necessary for all
the researchers. In this paper, a compendious study of different
Swarm Intelligence (SI) based MPPT algorithms for PV systems
feasible under partially shaded conditions are presented. SI algorithms
use motivation from the foraging nature of animals and insects.
In the last few decades, SI has gained tremendous attention
as it has been proven as an efficient control technique for global
optimization problems.