Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models

This study presents the parameter estimation of single diode photovoltaic cell models. To identify parameters more simply and effectively, a gradient-based iterative identification algorithm and a multi-innovation gradient-based iterative identification algorithm are proposed for single-diode photovoltaic cell models by using the negative gradient search and the multi-innovation identification theory. Finally, the scheme is analyzed through a large number of statistical analysis results, and it shows the effectiveness of the proposed algorithms.