Parameter determination of Photovoltaic Cells from field testing data using particle swarm optimization

This paper presents a swarm intelligence approach to extract equivalent circuit parameters of Photovoltaic (PV) Cells. The circuit model of a PV cell is non-linear and transcendental, which makes it difficult to solve using conventional numerical methods. Particle swarm optimization (PSO) was applied to extract the solar cell parameters. It has been confirmed that the proposed approach can obtain good parameter precision under the variations of solar insolation and environmental temperature.