SUMMARY
In this article, we propose the use of the optimization algorithm based on improved pattern search (IPSM), applying it to the estimation of the model parameters of a single diode of a photovoltaic cell. The parameters to be estimated are the photovoltaic current, the saturation current of the diode, the series resistance, the resistance in parallel, and the ideality factor of the diode. The estimation is made from the data obtained from a known curve, that is to say, that a photovoltaic cell could be characterized and from the data of the curve the parameters are extracted. The results are the identification of the parameters and the accuracy of the model concerning the reference at the point of maximum power (MPP). Additionally, a comparison is made with the model obtained with three estimations made with the particle swarm optimization algorithm (PSO), under the same conditions in the number of particles and iterations. The error found shows the similarity of the model with the reference obtained using the IPSM algorithm.