Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition

In the recent literature many soft computing techniques implemented for the MPPT of PV systems under PSC such as gray wolf optimization (GWO), particle swarm optimization (PSO) and Gravitational Search Algorithm (GSA). However, the performance of the MPP trackers still needs to be improved. The aim of this thesis is to implement a new global optimization algorithm for the MPPT of PV systems under PSC to improve the performance. For this purpose, a PV system is modelled in MATLAB/Simulink. Butterfly optimization algorithm (BOA) is implemented for three insolation scenarios on the modelled system. The results of the BOA is compared with the results of the PSO-GSA and GWO algorithm. The results showed that the BOA method is able to give high accuracy of tracking the GMPP and better speed than PSO-GSA and GWO methods.