Quadratic Spline Interpolation for Extracting the Hidden Parameters of Photovoltaic Module in Digital Twin Environment

This paper addresses the PV module's parametric estimation challenge using the information of manufacturer's datasheet. A cost function is created to estimate the design parameters. Quadratic spline interpolation (QSI) is employed for a mono-crystalline Sanyo-HIT215 solar panel, and its performance is compared with crow search algorithm (CSA). The results are presented in tabular form along with a I-V characteristics over different values of operating temperature. Such fine tuning of the mathematical models of PV cell through optimization algorithms has an added advantage in the digital twin environment to better reflect the real-world characteristics of a solar cell and ensure that the predictions and simulations from digital twin closely match the actual operating data.