FPA based approach for solar maximum power point tracking

TLDR: In this paper, a new nature inspired flower pollination algorithm (FPA) is proposed, by considering the limitations of conventional method and Evolutionary algorithm implemented methods, the results of FPA acknowledge its potential in attaining good convergence, high efficiency and less complexity.

Abstract: Due to the regular availability, pollution free and eco-friendly nature, power generation from solar energy has gained considerable attention. Although, power generation from solar is attractive; the environmental factors such as irradiation and temperature makes it challenging. In particular, it is a demanding task to researchers to extract maximum power different shading conditions. However, to extract maximum power various MPPT techniques have been proposed in conventional method and Evolutionary algorithm implemented methods. In the paper, by considering the limitations of aforementioned methods, a new nature inspired flower pollination algorithm (FPA) is proposed. Compared to the inability in conventional methods under partial shaded conditions, the FPA yields very good performance. Further, different shading patterns are tested and the results are compared with P&O and HC (hill climbing) methods. The results of FPA acknowledges its potential in attaining good convergence, high efficiency and less complexity.