Partial Shaded Solar Photovoltaic System Using Particle Swarm Optimization (PSO) Algorithm and Comparing with Novel Flower Pollination Algorithm (FPA) to Enhance Power Output

The aim of the study is to design Flower pollination MPPT algorithm for partial shaded solar Photovoltaic System (PV). Comparison of FPA and PSO algorithm is carried out under varied irradiation condition to obtain maximum output power. Particle Swarm Optimization (PSO) and Flower pollination MPPT algorithm with 10 samples per group and a G power of 0.80 are implemented to analyze partial shaded solar Photovoltaic System (PV) under varying partial shading conditions. Considering the findings, it can be deduced that the Flower pollination MPPT algorithm produces 86.03 W power output when compared to the power output in Particle Swarm Optimization (PSO) of 85.5 W under varying partial shading conditions in the PV panel. The study has a significance value of 0.02 which is less than 0.05, hence it holds hypothesis good. Conclusion: FPA based MPPT produce more output power appears to be superior in relation to the PSO method on the given dataset.