Abstract
Solar modules are generally modeled with equivalent electrical circuits for simulation, optimal operation and detailed study. In the lack of field test data, parameter estimation of the solar module model can be carried out using the manufacturer’s data. This paper presents the use of a multi-trial vector-based differential evolution (MTDE) algorithm to estimate the parameter values of solar cells or modules. Information from the manufacturer is used as data in estimating the parameter values of the solar cells or modules model. Various types of commercial solar cells or modules are used for testing purposes. The minimum value of the difference between the actual value and the estimated value is used as an objective function to be achieved. The test results show that the MTDE algorithm can estimate the parameter values of the models accurately by producing the objective function value close to zero for all types of solar modules.