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

: Wang, M.; Ma, X.; Huang, W.-H.; Liu, J.; Curran, A.J.; Schnabel, E.; Köhl, M.; Davis, K.O.; Brynjarsdottir, J.; Braid, J.L.; French, R.H.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 : A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC, 10-15 June 2018, Waikoloa Village, HI, USA
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-8529-7
ISBN: 978-1-5386-8530-3
World Conference on Photovoltaic Energy Conversion (WCPEC) <7, 2018, Waikoloa/Hawaii>
Photovoltaic Specialists Conference (PVSC) <45, 2018, Waikoloa/Hawaii>
Photovoltaic Science and Engineering Conference (PVSEC) <28, 2018, Waikoloa/Hawaii>
European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC) <34, 2018, Waikoloa/Hawaii>
Conference Paper
Fraunhofer ISE ()

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.