An Improved MPPT Solar Charge Controller Based on Artificial Fish-Swarm Algorithm and Narrowed Search Spaced Perturbation Observation Algorithm

Abstract

In this paper, artificial fish-swarm and narrowed search spaced perturbation observation algorithms were used to improve the design of maximum power point tracking solar charge controller. The unstable DC panel voltage was stabilized using a boost converter circuit. The charge controller output voltage was 12V and the output current was 40A. The study showed that an efficiency of 97 % can be achieved with the improved maximum power point tracking solar charge controller. At a maximum voltage (29V), the highest power output was 200W. The output voltage does not depend on the intensity of light, however, the output of the photovoltaic current and power output is proportional to light intensity.