Solar cell parameters extraction using particle swarm optimization algorithm

This paper presents an application of particle swarm optimization (PSO) technique for extracting the parameters of single diode solar cell model. The proposed technique is used to estimate five different model parameters; namely, generated photocurrent, saturation current, series resistance, shunt resistance and ideality factor that govern the current-voltage relationship of a solar cell. A measurement data of 57 mm diameter commercial (R.T.C. France) silicon solar cell is used to test and verify the consistency of accurately estimating various parameters. The effectiveness of the proposed method is compared with the results found by the other parameter estimation techniques.