Gradient-based and multi-innovation gradient-based iterative identification methods for dual-diode photovoltaic cell models

This paper considers the parameter identification problems of dual-diode photovoltaic cell models. A gradient-based iterative algorithm is proposed for the photovoltaic cell model by using the negative gradient search method. In order to improve the parameters accuracy and data utilization, a multi-innovation gradient-based iterative algorithm is proposed to estimate the model parameters based on the multi-innovation identification theory. The simulation test results indicate that the proposed algorithms are effective.