A genetic algorithm approach to parameter estimation for PV modules

Accurate modelling of photovoltaic (PV) modules is necessary to understand PV cell operation and to develop maximum power point tracking (MPPT) algorithm for efficient operation of the PV system. A variety of models are proposed in the literature that use a current source, diodes and resistors to represent a PV module. The parameter values involved in the model need to be accurately estimated to improve the model accuracy. The values of the series resistance and diode’s ideality factor could be improved in previous research. This paper proposes a genetic algorithm approach to parameter estimation for PV modules. A parameter estimation technique proposed in previous research is also explored and analyzed. Results show that the proposed parameter estimation technique reduces the errors at the remarkable points when compared to the existing method.