Evaluation of Photovoltaic Module Performance Using Novel Data-driven I-V Feature Extraction and Suns-VOC Determined from Outdoor Time-Series I-V Curves

This paper presents an alternative method to extract performance parameters including the maximum power point (P MP ), short-circuit current (I SC ), open-circuit voltage (V OC ), shunt resistance (R sh ), series resistance (R S ), and fill factor (FF) from time-series I-V curves of PV Modules under real-world exposure conditions. Moreover, ""steps"" in I-V curves are also extracted, which is considered as a sign for module mismatch and physical damage. To better quantify performance losses and distinguish loss mechanisms, Suns-V OC psuedo IV curves are also constructed from aforesaid real-world data, based on the measured I SC , V OC pairs during each week, and performance losses are calculated from the difference in P MP of initial and degraded I-V and pseudo I-V curves corrected with various algorithms.